Title :
Artificial neural networks in breast cancer diagnosis: merging of computer-extracted features from breast images
Author :
Giger, Maryellen L. ; Huo, Zhimin
Author_Institution :
Dept. of Radiol., Chicago Univ., IL, USA
Abstract :
We have developed a computer aided diagnosis method for differentiating malignant from benign masses. The computerized method outputs an estimated likelihood of malignancy for eventual use as an aid to radiologists in diagnosing breast cancer. The method incorporates various computer extracted image features and merges them using artificial neural networks and rules. The authors summarize recent progress
Keywords :
cancer; feature extraction; medical expert systems; medical image processing; neural nets; artificial neural networks; benign masses; breast cancer diagnosis; breast images; computer aided diagnosis method; computer extracted image features; computer-extracted features; computerized method; estimated likelihood of malignancy; malignant masses; radiologists; Artificial neural networks; Benign tumors; Breast cancer; Computer aided diagnosis; Computer networks; Data mining; Decision making; Intelligent networks; Lesions; Merging;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.785488
