Computer-aided Detection of Subtle Signs of Breast Cancer in Mammograms
Date: 30th November, 2012
Time: 11:00 A.M. - 12:30 P.M.
Abstract-Architectural distortion is a subtle sign of breast cancer that could
be missed in screening mammography. This seminar will present several techniques for the detection of architectural
distortion in mammograms based on the analysis of oriented texture using Gabor filters, modeling of orientation
fields by phase portraits, and modeling of the oriented structure of breast tissues.
Screening mammograms obtained prior to the detection of cancer could contain subtle signs of
breast cancer, in particular, architectural distortion. Several methods will be described for the characterization
architectural distortion based on the analysis of the angular spread of power and other characteristics, fractal
analysis, texture analysis, and measures of divergence. With a dataset of 106 prior mammograms of 56
interval-cancer cases and 52 mammograms of 13 normal cases, area under the receiver operating characteristic
curve of up to 0.78 has been obtained. Free-response receiver operating characteristics have indicated sensitivity
of 0.80 at fewer than 4 false positives per patient.
The results indicate that the methods proposed can help in the detection of breast cancer at
earlier stages than possible by visual interpretation.
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