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Ichikawa et al., 2004 - Google Patents

Automated detection method for architectural distortion areas on mammograms based on morphological processing and surface analysis

Ichikawa et al., 2004

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Document ID
4098555663833117031
Author
Ichikawa T
Matsubara T
Hara T
Fujita H
Endo T
Iwase T
Publication year
Publication venue
Medical Imaging 2004: Image Processing

External Links

Snippet

As well as mass and microcalcification, architectural distortion is a very important finding for the early detection of breast cancer via mammograms, and such distortions can be classified into three typical types: spiculation, retraction, and distortion. The purpose of this work is to …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06T2207/30004—Biomedical image processing
    • G06T2207/30068—Mammography; Breast
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0031—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
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