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WO2012030305A2 - Dispositif et son système d'interprétation de test de pré-transfusion automatique et à distance - Google Patents

Dispositif et son système d'interprétation de test de pré-transfusion automatique et à distance Download PDF

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Publication number
WO2012030305A2
WO2012030305A2 PCT/SI2011/000047 SI2011000047W WO2012030305A2 WO 2012030305 A2 WO2012030305 A2 WO 2012030305A2 SI 2011000047 W SI2011000047 W SI 2011000047W WO 2012030305 A2 WO2012030305 A2 WO 2012030305A2
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WO
WIPO (PCT)
Prior art keywords
gel
test
interpretation
transfusion
card
Prior art date
Application number
PCT/SI2011/000047
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English (en)
Other versions
WO2012030305A3 (fr
Inventor
Jurij Franc Tasic
Marko Meza
Marko Breskvar
Irena Bricl
Primoz Rozman
Original Assignee
Krog-Mit, D.O.O.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by Krog-Mit, D.O.O. filed Critical Krog-Mit, D.O.O.
Publication of WO2012030305A2 publication Critical patent/WO2012030305A2/fr
Publication of WO2012030305A3 publication Critical patent/WO2012030305A3/fr

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00722—Communications; Identification
    • G01N35/00871—Communications between instruments or with remote terminals
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G01N21/82—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a precipitate or turbidity
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G01N21/82—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a precipitate or turbidity
    • G01N2021/825—Agglutination
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/29—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using visual detection
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/06—Illumination; Optics
    • G01N2201/063—Illuminating optical parts
    • G01N2201/0631—Homogeneising elements
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Definitions

  • the patent covers the device and information system for remote and automatic interpretion of pre-transfussion tests.
  • the system and the device provides exchange of professional data used by blood transfusion specialists.
  • the information system enables on gel card performed pretransfusion test result interpretation. It is enables determination of the strength of agglutination of each gel card column and based on this interpretation into final test result.
  • the system is capable of learning of the interpretation based on previous test inerpretations, performed by human expert and thus mimic the work of human expert.
  • the interpretation process consists of two steps. In the first step the system determines the agglutination strength in each column and classifies the tubes into corresponding class. In second step, based on in the first step determined agglutination strength final test interpretation is determined.
  • the device enabling successful communication between medical personnel included into process fo blood transfusion medical care. It enablec exchange of opinions (consulting) when setting diagnoses, especialliy in cases requiring expertise and data transfer between on duty doctor and consultant.
  • the system provides store and forward telemedical mode of operation as well as realtime mode communication if necessary. In real time operation the system establishes videoconference communication between communicationg parties. All actions performed by the system are securely logged and action trace is being formed.
  • the system has functionality to page the user if the user is not present by the terminal.
  • the system provides its users with user friendly and intuitive user interface.
  • the system generates test and learning dataset for automatic pre- transfufion test interpretation module.
  • Blood transfusion services are performed on transfusion wards within hospitals, where in case of Slovenia few hundred blood products are issued each day. For each product, special pre transfusion tests are performed. Tests are performed by means of gel card method, which results can be fotodocumented.
  • the system provides exchange of all data releant to interpret the pre-transfusion test and set patient's diagnose. These data are patient's medical data, data obtained from previous examinations and history of therapies performed on the patient accompanied by possible complication data.
  • DiaMED-ID Maestro produced by the DiaMed company provides partial automatic readout and interpretation pf pre-transfusion tests.
  • the device is capable of interpretation of straight forward results, in cases of non straight forward results, the test must be interpreted by the human specialist.
  • the equipment is expensive and therefore available only to the central transfusion laboratory, performing great volume of pre-transfusion testing. Smaller laboratories are still performing test interpretation manually.
  • DiaMD maestro device needs to be calibrated, and set its operational parameters, after which it is capable of determining agglutination levels of each colon of gel card. To achieve this, the testtube is divided into 5 sections.
  • Presence of agglutinates in upper segment determines positive agglutination result, whereas lower one determines negative result and windows between determine medim agglutinbation results. During the calibration, the window locations and sizes are determined. After classification of testtubes the system interprets the test result based on truth table.
  • Our system for interpretation and teleconsulting provides telemedical exchange of all data, required for interpretetaion of the pre-tzransfusion test.
  • the system stores and archives all data.
  • it establishes real time communication channel using videoconference providing prompt resolution of urgent case requirements.
  • Our system collects and builds expert database, comprising of test data and accompanying interpretations set by human expert. Collected data is used to adaptively enhance the model of pre-transfusion test interpretation by means of machine learning algorithms.
  • the system comprises of via the data network securely connected nodes.
  • Three types of nodes are used in the system.
  • the first type of node comprise of the device for capture of gel card images, PC terminal with accompanying software, IO devices and connection to existing hospital information system. These nodes are meant for on duty doctors.
  • the second type of node is meant for consultants. It comprises of PC terminal with accompanying software, 10 devices.
  • the third node comprises servers all other nodes. It comprises of database, application server with telemedical server application, videoconference management system and automatic interpretation module.
  • Figure 2 device for capture of gel-card images
  • Figure 3 light emiting source, image capture sensor and gel card setup within the device for capture of the gel card images
  • the system comprises of several interconnected modules.
  • Basic modules depicted on figure 1 are: 1 : terminal with gel card image capture device, 2: security and authentication module, 3: user interface module, 4: database, 5: database access module, 6: system supervision module, 7: videoconference module, 8: automatic interpretation module.
  • the device provides standardized and repeatable capturing of images required for the correct read-out and interpretation of the pre-transfusion tests.
  • Image capture is standardized in means of position, illumination and other optical deformations of the gel-card.
  • the captured high resolution images 24-bit, true-colour 3.2 mega pixels
  • the observation and interpretation of the agglutinates is easy compared to the standard visual reading by the naked eye.
  • the gel-cards To capture the image of the gel-card, it must be correctly illuminated using 5 the white spectrum light. Due to specific requirements for gel-card 13 image capture, the gel-cards must be illuminated from the front and from the back side to effectively illuminate all important gel-card components. They are: gel-card label and gel-card's micro tubes with their content. In our design three illuminators were used. They were made of an array of i o white LEDs and a light diffuser, made of white diffuser glass. The image of the gel-card is captured by the off shelf digital camera, built into the device. The setup of the illuminators, the gel-card and the camera is illustrated in Figure 2.
  • the device uses of shelf image capture device 9.
  • the whole device is i s controlled by the AVR family microcontroller.
  • the device is connected to the pc terminal by means of USB and RS232 connection interfaces.
  • the device 13 comprises of housing, mechanical guide to guide hold and eject gel cards, gel card presence sensor, two front illuminators 10, 11 in appropriate constellation with gel card to avoid direct reflections of0 illuminators from reflective gel card surface to image sensor device lens 9, backlight illuminator 12 for through illumination of the gel card, image sensor with appropriate lens 9.
  • Identification lights notify the user of the device about device status, electronic board for control of the device and communication with computer via data interfaces.
  • Figure 3 depicts constellation of illuminators 10, 11 , 12, image capture sensor 9 and gel card 13 in image capture device.
  • Backlight Ight0 source comprised of matrix of equally spaced white LED slightly larger than gel card. Light emitted by LEDs is diffused by means of two light diffusors.
  • gel card 13 Next is gel card 13.
  • Front illuminators 10, 11 are comprised of column of white LEDs distributed to achieve even front illumination - same as if infinitely long linearly distributed LED stick would be used. Distribution is depicted on figure 5.
  • image sensor is depicted.
  • the constellation of gel card, front illuminators and image sensor is chosen so, that direct reflections of front illuminators from gel card surface does not reflect into image sensor lens. To achieve that, front illuminators must be adequately spaced from the image sensor lens axis.
  • On picture 3 direct reflections are illustrated by dashed line, where image sensor axis is characterized in that the dot dashed line.
  • front illuminators 10, 1 1 had to emit light in approprita light intensity distribution. If the device was large enough same illumination would be achievalble with wery long illuminators. To achieve even gel card illumination distribution of LEDs on illuminators 10, 11 was calucated.
  • the illumination caused by single LED was computed. Since the system is linear, the illumination caused by more than one LED could be determined by simply adding each LED's contribution. Then optimization criteria of even gel card illumination was applied. Even level of illumination criteria was minimum square of area below first derivation of the gel card illumination function. We have chosen 8 as the number of used LEDs. Using these constraints, the optimization process, optimizing LED distribution was run and we obtained LED distribution of illuminator 10 and 11 , depicted in figure 5.
  • Application provides user friendly intuitive user interface, it controls the gel card image capturing device, it handles image capture, processing of the image, capture of the data from existing hospital information system and transfer of all data to the system's server.
  • Module 2 is in charge of authentication and securing personal medical data. It is important to keep the data secure. Data communication is established via public IP data network Internet which is inheritaly insecure. The majority of data exchange is performed using HTTP protocol using POST messages. POST messages contain serialized data containers containing data and commands which modules exchange. Used network and protocol does not provide data protecetion by themselves. It is also crucial that only authenticated nodes have access to the system. Therefore VPN technology was employed to create virtual private network tunnels through public network. Tunnels are encrypted and can be established only from authenticated nodes.
  • Module 3 of the user interface must provide simple and intuitive system usage. It must be simple to use simple to install on the terminals and roboust. Module must provide simple user interface changing without interfering with system's logic. To establish such module we have used tested and reliable technology - Java programming language.
  • Database chosen to support system's data storage was structured query language database. Since it is accessed with java using interface it can also be simply exchanged if needed. Used drivers were JDBC drivers. Using appropriate interfaces, the system communicates with databases 4, 5.
  • the first database 4 is system's own database, containing all user authentication data, system data, teleconsulting session data and patients personal and medical data obtained for each processed patient from hospital's information system, and data about gelcard image files, which are stored in filesystem.
  • Another datasource is database 5, which represents existing hospital information system. It contains patient personal and medical data.
  • the module 6 controls the whole system. It stores records about current online users, dispatches tasks to the users and notifies the users about tasks. It is in charge of user authentication, action data storage storing session questions equipped with for diagnosis required data, it equips the user enetered session data with patient data obtained from hospital information system. It is also in charge of stroring set diagnosis data, and storage of public user certificates. It is also in charge for videoconference 5 session management.
  • Videoconferencing module 7 is in Java written module using JMF technology. When videoconference request is sent by the module 6 it contains ip addresses of both communicating parties with port numbers which will be used to send and receive RTP data. Videoconference is io established in form of 4 data streams - 2 - full duplex for video and 2 - full duplex for audio. The terminals are equipped with web camera and headphones with microphone. Appropriate drivers must also be installed. Module 8 for automatic diagnosis setting adaptively learns the model of diagnosis setup by means of machine learning algorithms which use by i s expert transfusion specialist solved real consultation session data, which accumulates through system usage.
  • the main teleconsulting system is designed to obtain data from consultants in discrete form - discrete classification of each gel card's test tube accordingly to the agglutination strength, and discrete test0 interpretation. Free text is also entered as answer, but discrete classification and test interpretation results are obligatory. Therefore for machine learning suitable dataset is collected.
  • the model for automatic5 test interpretation is upgraded by means of machine learning algorithm.
  • Gel-cards are plastic cards of dimensions 7 x 5.3 cm with 6 embedded micro-tubes of diameter 2 mm, filled with a mixture of sephadex gel, buffer and reagent. For each pre-transfusion test a different combination of the reagents is used in the gel-card test tubes.
  • Figure 4 depicts the image of commonly used serological test ABO Rh gel-card with agglutinates fixed, ready for the readout and interpretation.
  • a suspension of red blood cells or a mixture of the red blood cells and diagnostic antibodies is centrifuged through the gel under standardized conditions. If no agglutination occurs, the red blood cells penetrate the gel and sediment at the bottom of these micro-tubes (negative result). In cases when agglutination occurs, agglutinates are trapped on the surface of the gel (positive result).
  • the readout and interpretation of the test is performed by visual interpretation of the agglutination pattern in six micro-tubes. It consists of two steps. In the first step, the strength of agglutination is determined for each of the six micro-tubes, ranging from 0 to 4+. In the second step of the pre-transfusion test interpretation, the result is interpreted based on the agglutination pattern in six micro-tubes. By capturing the image of the gel-card, it is possible to electronically capture the result of the pre- transfusion test.
  • the gel test method of pre-transfusion serological testing when performed by standardized procedures, yields sensitive, specific and reproducible results.
  • the final visual read out and interpretation of the gel- card represents the most important step affecting the accuracy of the medical diagnosis. It requires engagement of highly qualified and experienced personnel. In addition, access to the patient's medical history is required during the diagnostic procedure for an accurate diagnostic decision.
  • the system mimics the specialist's work by interpreting test results in two steps. The first step it establishes agglutination strength in each testtube, in second step it detrermines final test result based on previous testtube classification.
  • the system provides exchange of questions, answers and other relevant data required for diagnosis setup.
  • the system is capable of establishing videoconference connections.
  • the system works in store and forward mode if necessary it can also operate in realtime operation mode. All system actions are logged.

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Chemical & Material Sciences (AREA)
  • Immunology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Physics & Mathematics (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Plasma & Fusion (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Image Processing (AREA)

Abstract

La présente invention concerne un dispositif et un système d'informations servant à l'interprétation à distance d'un test de pré-transfusion effectué au moyen d'un test par gel effectué sur une carte gel. L'invention est également capable de réaliser une interprétation automatique du résultat du test sur la base d'un modèle d'interprétation établi au moyen d'algorithmes d'apprentissage automatiques en utilisant des données de diagnostic accumulées par le système avec des diagnostics correspondants. Le système interprète les tests de pré-transfusion en analysant des images de cartes gel et classifie dans plusieurs classes chaque tube de test sur la base du motif d'agglutination dans le tube. Une fois que tous les tubes de test ont été classifiés, le vecteur de classification est utilisé pour déterminer l'interprétation finale du résultat.
PCT/SI2011/000047 2010-09-02 2011-08-31 Dispositif et son système d'interprétation de test de pré-transfusion automatique et à distance WO2012030305A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SIP-201000267 2010-09-02
SI201000267A SI23471A (sl) 2010-09-02 2010-09-02 Naprava in informacijski sistem za samodejno interpretacijo rezultatov predtransfuzijksih preiskav

Publications (2)

Publication Number Publication Date
WO2012030305A2 true WO2012030305A2 (fr) 2012-03-08
WO2012030305A3 WO2012030305A3 (fr) 2012-05-03

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PCT/SI2011/000047 WO2012030305A2 (fr) 2010-09-02 2011-08-31 Dispositif et son système d'interprétation de test de pré-transfusion automatique et à distance

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SI (1) SI23471A (fr)
WO (1) WO2012030305A2 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
BE1022861B1 (nl) * 2014-11-06 2016-09-27 Vidimsoft Bvba Inrichting voor het digitaliseren van bloedgroepcassettes
CN110720034A (zh) * 2017-05-07 2020-01-21 国立大学法人大阪大学 识别方法、分类分析方法、识别装置、分类分析装置及记录介质
JP2020139915A (ja) * 2019-03-01 2020-09-03 富士レビオ株式会社 分析装置、検体前処理装置、訓練装置、プログラム、情報処理方法、学習モデルおよび学習モデルの生成方法

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5594808A (en) * 1993-06-11 1997-01-14 Ortho Diagnostic Systems Inc. Method and system for classifying agglutination reactions
US6915265B1 (en) * 1997-10-29 2005-07-05 Janice Johnson Method and system for consolidating and distributing information
AU2001267848A1 (en) * 2000-06-27 2002-01-08 Asahi Kasei Kabushiki Kaisha Remote witnessed analysis system
US20020059326A1 (en) * 2000-07-25 2002-05-16 Derek Bernhart System, method, and computer program product for management of biological experiment information
US20030135547A1 (en) * 2001-07-23 2003-07-17 Kent J. Thomas Extensible modular communication executive with active message queue and intelligent message pre-validation
JP2007524461A (ja) * 2003-06-25 2007-08-30 シーメンス　メディカル　ソリューションズ　ユーエスエー　インコーポレイテッド 乳房撮像の自動診断及び決定支援システム及び方法
DE602004028415D1 (de) * 2004-02-26 2010-09-09 Seems Inc Büstenhalter mit einem diagnostischen sensor
CA2614306A1 (fr) * 2005-07-11 2007-01-18 Brandt Innovative Technologies, Inc. Capteurs et reseau adaptatifs
JP5153281B2 (ja) * 2007-09-28 2013-02-27 キヤノン株式会社 診断支援装置及びその制御方法
JP5301232B2 (ja) * 2008-09-30 2013-09-25 シスメックス株式会社 血球画像表示装置、検体分析システム、血球画像表示方法、及びコンピュータプログラム

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
BE1022861B1 (nl) * 2014-11-06 2016-09-27 Vidimsoft Bvba Inrichting voor het digitaliseren van bloedgroepcassettes
CN110720034A (zh) * 2017-05-07 2020-01-21 国立大学法人大阪大学 识别方法、分类分析方法、识别装置、分类分析装置及记录介质
CN110720034B (zh) * 2017-05-07 2022-10-18 艾珀尔有限公司 识别方法、分类分析方法、识别装置、分类分析装置及记录介质
JP2020139915A (ja) * 2019-03-01 2020-09-03 富士レビオ株式会社 分析装置、検体前処理装置、訓練装置、プログラム、情報処理方法、学習モデルおよび学習モデルの生成方法
JP7273542B2 (ja) 2019-03-01 2023-05-15 富士レビオ株式会社 分析装置、検体前処理装置、訓練装置、プログラム、情報処理方法、学習モデルおよび学習モデルの生成方法

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Publication number Publication date
WO2012030305A3 (fr) 2012-05-03
SI23471A (sl) 2012-03-30

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