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20 p, 1002.9 KB Classification of breast mass abnormalities using denseness and architectural distortion / Baeg, Soon (Texas Instruments, Inc. (Dallas, Estats Units d'Amèrica)) ; Kehtarnavaz, Nasser (University of Texas at Dallas. Department of Electrical Engineering)
This paper presents an electronic second opinion system for the classification of mass abnormalities in mammograms into benign and malignant categories. This system is designed to help radiologists to reduce the number of benign breast cancer biopsies. [...]
2002 - 10.5565/rev/elcvia.59
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 1 n. 1 (2002) p. 1-20  

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