Translator Disclaimer
24 June 1998 Detection of mammographic masses using sector features with a multiple-circular-path neural network
Author Affiliations +
Abstract
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shih-Chung Benedict Lo, Huai Li, Akira Hasegawa, Yue J. Wang, Matthew T. Freedman M.D., and Seong Ki Mun "Detection of mammographic masses using sector features with a multiple-circular-path neural network", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310848
PROCEEDINGS
10 PAGES


SHARE
Advertisement
Advertisement
Back to Top