Sahu et al., 2017 - Google Patents
A new hybrid approach using fuzzy clustering and morphological operations for lung segmentation in thoracic CT imagesSahu et al., 2017
View HTML- Document ID
- 6446949521727510702
- Author
- Sahu S
- Agrawal P
- Londhe N
- et al.
- Publication year
- Publication venue
- Biomedical and Pharmacology Journal
External Links
Snippet
For computer-aided-diagnosis (CAD) System, the lung segmentation phase is having most significant role in the detection of lung cancer at initial stages. It is needed as preprocessing step for obtaining the accurate Region of Interest (ROI) area. Efficiency of CAD system is …
- 210000004072 Lung 0 title abstract description 80
Classifications
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- G06T7/0014—Biomedical image inspection using an image reference approach
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- G06T2207/10104—Positron emission tomography [PET]
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- G06T2207/20101—Interactive definition of point of interest, landmark or seed
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
- G06T2207/20116—Active contour; Active surface; Snakes
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- G06T2207/20156—Automatic seed setting
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- G06T2207/20104—Interactive definition of region of interest [ROI]
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