Automated detection and classification of breast tumors
Computers and Biomedical Research
Signal Processing for Computer Vision
Signal Processing for Computer Vision
Gradient Vector Flow Fields and Spiculated Mass Detection in Digital Mammography Images
IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
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We propose a method for finding stellate lesions in digitized mammograms based on the use of both local phase and local orientation information extracted from quadrature filter outputs. The local phase information allows efficient and fast separation between edges and lines and the local orientation estimates are used to find areas circumscribed by edges and with radiating lines. The method is incorporated in a computer-aided detection system and evaluation by FROC-curve analysis on a data set of 90 mammograms (45 pairs) yields a false positive rate of 0.3 per image at 90% sensitivity.