Computer-aided detection and diagnosis of breast cancer.
The limitations of radiologists when interpreting mammogram examinations provides a reasonable, if not compelling, basis for application of computer techniques that have the potential to improve diagnostic performance. Computer algorithms, at their present state of development, show great promise for clinical use. It can be expected that such use will only improve as computer technology and computer methods continue to become more formidable. The eventual role of computers in mammographic detection and diagnosis has not been fully defined, but their effect on practice may one day be very significant.
Vyborny
C J
CJ
Department of Radiology, University of Chicago, Illinois, USA.
Giger
M L
ML
Nishikawa
R M
RM
D000465:Algorithms; D001185:Artificial Intelligence; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D003199:Computer Systems; D003936:Diagnosis, Computer-Assisted / Q000145:classification / Q000379:methods; D005260:Female; D017143:Fuzzy Logic; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008327:Mammography / Q000145:classification; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods