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Proceedings Paper

Exploring computerized mammographic reporting with feedback
Author(s): Kathleen M. Harris; Barbara C. Good; Jill L. King; David Toma; David Gur; Zahra S. Ilkhanipour; Melinda J. Staiger; James H. Oliver; Phyllis W. Wintz; Marie A. Ganott; Cynthia A. Britton; William H. Straub
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Paper Abstract

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.

Paper Details

Date Published: 8 September 1993
PDF: 7 pages
Proc. SPIE 1899, Medical Imaging 1993: PACS Design and Evaluation, (8 September 1993); doi: 10.1117/12.152925
Show Author Affiliations
Kathleen M. Harris, Univ. of Pittsburgh (United States)
Barbara C. Good, Univ. of Pittsburgh (United States)
Jill L. King, Univ. of Pittsburgh (United States)
David Toma, Univ. of Pittsburgh (United States)
David Gur, Univ. of Pittsburgh (United States)
Zahra S. Ilkhanipour, Univ. of Pittsburgh (United States)
Melinda J. Staiger, Univ. of Pittsburgh (United States)
James H. Oliver, Univ. of Pittsburgh (United States)
Phyllis W. Wintz, Univ. of Pittsburgh (United States)
Marie A. Ganott, Univ. of Pittsburgh (United States)
Cynthia A. Britton, Univ. of Pittsburgh (United States)
William H. Straub, Univ. of Pittsburgh (United States)


Published in SPIE Proceedings Vol. 1899:
Medical Imaging 1993: PACS Design and Evaluation
R. Gilbert Jost, Editor(s)

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