Detection of mammographic masses using sector features with a multiple-circular-path neural network
Shih‐Chung B. Lo, Huai Li, Akira Hasegawa, Yue Julia Wang, Matthew T. Freedman, Seong K. Mun · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
In the clinical course of detecting masses, mammographers usually evaluate the surrounding background of a radiodense when breast cancer is suspected. In this study, we adapted this fundamental concept and computed features of the suspicious region in radial sections. These features were then arranged by circular convolution processes within a neural network, which led to an improvement in detecting mammographic masses.