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The classification scheme involves the extraction of border information from the mammographic mass in order to quantify the degree of spiculation, which is ...
At present mammography is the most effective method for the early detection of breast cancer1 . Detection and classification of masses in mammograms are ...
We are developing computerized schemes for the automated detection and classification of masses in digital mammograms. The detection scheme utilizes the ...
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In this study, we analyze the characteristics of actual masses and nonmass detections to develop feature-analysis techniques with which to reduce the number of ...
A computerized scheme is being developed for the detection of masses in digital mammograms. Based on the deviation from the normal architectural symmetry of ...
Original investigation. Computerized detection of masses in digitized mammograms using single-image segmentation and a multilayer topographic feature analysis.
We are developing, as an aid to radiologists, a computerized scheme for the classification of masses appearing on mammograms to reduce the number of false- ...
Results show that the feature-analysis techniques effectively improve the performance of the computerized detection scheme: about 35% false-positive ...
Giger ML, Yin FF, Doi K,ea al: Investigation of methods for the computerized detection and analysis of mammographic masses.Proc SPIE 1233:183–184, 1990 ...
The main aim of this study is to classify masses into benign and malignant after detecting them automatically. We propose an iterative method of high-to-low ...