Comput. Biol. Med. - A non-linear morphometric feature selection approach for breast tumor contour from ultrasonic images.

Tópicos

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Resumo

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.

Resumo Limpo

ultrasound breast imag use improv diagnost decreas number unneed biopsi malign breast tumor tend present irregular blur contour benign one usual round smooth welldefin accord investig tumor contour may help establish diagnosi herein mutual inform linear discrimin analysi implement rank morphometr featur discrimin breast tumor ultrasound imag seven featur extract convex polygon normal radial length techniqu appli mutual inform base approach possibl ident featur possibl nonlinear contribut outcom

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