A non-linear morphometric feature selection approach for breast tumor contour from ultrasonic images.
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.
Pereira
Wagner Coelho A
WC
Biomedical Engineering Program/COPPE, Federal University of Rio de Janeiro, Rio de Janeiro 21941-972, Brazil.
Alvarenga
André V
AV
Infantosi
Antonio Fernando C
AF
Macrini
Leonardo
L
Pedreira
Carlos E
CE
D001943:Breast Neoplasms / Q000648:ultrastructure*; D016208:Databases, Factual; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D016217:Ultrasonography, Mammary / Q000379:methods*