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Proceedings Paper

Application of neural networks to computer-aided pathology detection in mammography
Author(s): Richard G. Stafford; Jacob Beutel; Daniel J. Mickewich; S. L. Albers
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Paper Abstract

Digitized mammograms are used as input to a system of feedforward neural networks for determining the presence of clusters of microcalcifications. Rather than presenting the locations of detected suspected pathologies on the digital image itself, the intent is to produce a transparent overlay marking these possible pathologies for later diagnosis by the radiologist. Current results indicate that this method will in general be more efficient than human observers in locating low contrast objects and clusters of small microcalcifications (down to 50 micron diameter).

Paper Details

Date Published: 14 September 1993
PDF: 12 pages
Proc. SPIE 1896, Medical Imaging 1993: Physics of Medical Imaging, (14 September 1993); doi: 10.1117/12.154606
Show Author Affiliations
Richard G. Stafford, E.I. du Pont de Nemours & Co., Inc. (United States)
Jacob Beutel, E.I. du Pont de Nemours & Co., Inc. (United States)
Daniel J. Mickewich, E.I. du Pont de Nemours & Co., Inc. (United States)
S. L. Albers, Christiana Hospital/Medical Ctr. of Delaware (United States)

Published in SPIE Proceedings Vol. 1896:
Medical Imaging 1993: Physics of Medical Imaging
Rodney Shaw, Editor(s)

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