Translator Disclaimer
8 September 1993 Exploring computerized mammographic reporting with feedback
Author Affiliations +
Computer-aided diagnosis is generally dependent on feature detection and identification on digitized images. In this project, we explored the use of a computerized system in which features identified by radiologists for a previous set of mammography cases, in addition to other information on those cases, formed a database of information that provided readers of new cases with statistical probabilities (feedback) for malignancy in similarly rated cases. Although in this preliminary study the feedback system did not improve levels of diagnostic accuracy (which were already high), the results suggest that in certain settings and with certain mammography readers the method may be extremely promising.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kathleen M. Harris M.D., Barbara C. Good, Jill L. King, David Toma, David Gur, Zahra S. Ilkhanipour M.D., Melinda J. Staiger M.D., James H. Oliver III, Phyllis W. Wintz M.D., Marie A. Ganott M.D., Cynthia A. Britton M.D., and William H. Straub M.D. "Exploring computerized mammographic reporting with feedback", Proc. SPIE 1899, Medical Imaging 1993: PACS Design and Evaluation, (8 September 1993);

Back to Top