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Cai et al., 2018 - Google Patents

Identifying architectural distortion in mammogram images via a se-densenet model and twice transfer learning

Cai et al., 2018

Document ID
8458866823333345715
Author
Cai Q
Liu X
Guo Z
Publication year
Publication venue
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

External Links

Snippet

Breast cancer is a leading threaten of woman's health, and mammography is widely used in the early detection and diagnosis of breast cancer. Mass is a common sign observed on mammograms, and the automatic identification of benign and malignant breast …
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Classifications

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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T7/0012—Biomedical image inspection
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    • G06T2207/20112—Image segmentation details
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
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