Chen et al., 2015 - Google Patents

Shape-based automatic detection of pectoral muscle boundary in mammograms

Chen et al., 2015

Document ID: 5334479346550395348
Author: Chen C; Liu G; Wang J; Sudlow G
Publication year: 2015
Publication venue: Journal of medical and biological engineering

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The detection of the pectoral muscle boundary in the medio-lateral oblique view of mammograms is essential to improving the computer-aided diagnosis of breast cancer. In this study, a shape-based detection method is proposed for accurately extracting the …

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210000002976 Pectoralis Muscles 0 title abstract description 98

Classifications

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- G06T2207/30004—Biomedical image processing
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06T2207/20092—Interactive image processing based on input by user
- G06T2207/20101—Interactive definition of point of interest, landmark or seed
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- G06T2207/20112—Image segmentation details
- G06T2207/20156—Automatic seed setting
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- G06—COMPUTING; CALCULATING; COUNTING
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