A non-linear morphometric feature selection approach for breast tumor contour from ultrasonic images

作者：Pereira Wagner Coelho A; Alvarenga Andre V^*; Infantosi Antonio Fernando C; Macrini Leonardo; Pedreira Carlos E

来源：Computers in Biology and Medicine, 2010, 40(11-12): 912-918.

DOI：10.1016/j.compbiomed.2010.10.003

• Tumor
• Feature selection
• Mutual information
• Morphometric features
• Ultrasonic images
• Breast cancer

Ultrasound breast images have been used to improve diagnostics and decrease the number of unneeded biopsies. Malignant breast tumors tend to present irregular and blurred contours while benign ones are usually round, smooth and well-defined. Accordingly, investigating the tumor contour may help in establishing diagnosis. Herein, Mutual Information and Linear Discriminant Analysis were implemented to rank morphometric features in discriminating breast tumors in ultrasound images. Seven features were extracted from Convex Polygon and the Normalized Radial Length techniques. By applying a Mutual Information based approach, it was possible to identity features with possibly non-linear contributions to the outcome.

• 出版日期2010-12
• 单位中国计量科学研究院