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Bora et al., 2016 - Google Patents

Robust automatic pectoral muscle segmentation from mammograms using texture gradient and Euclidean distance regression

Bora et al., 2016

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Document ID
8757457132184163777
Author
Bora V
Kothari A
Keskar A
Publication year
Publication venue
Journal of digital imaging

External Links

Snippet

In computer-aided diagnosis (CAD) of mediolateral oblique (MLO) view of mammogram, the accuracy of tissue segmentation highly depends on the exclusion of pectoral muscle. Robust methods for such exclusions are essential as the normal presence of pectoral muscle can …
Continue reading at pmc.ncbi.nlm.nih.gov (PDF) (other versions)

Classifications

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    • G06T2207/30004Biomedical image processing
    • G06T2207/30068Mammography; Breast
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
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    • GPHYSICS
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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    • GPHYSICS
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T2207/10116X-ray image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06T2207/10072Tomographic images
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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