DocumentCode
3057792
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
Volume
3
fYear
1999
fDate
1999
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location
Washington, DC
Print_ISBN
0-7803-5536-9
Type
conf
DOI
10.1109/CEC.1999.785488
Filename
785488
Link To Document