Application of neural networks to computer-aided pathology detection in mammography

Richard G. Stafford; Jacob Beutel; Daniel J. Mickewich; S. L. Albers

doi:10.1117/12.154606

14 September 1993 Application of neural networks to computer-aided pathology detection in mammography

Richard G. Stafford, Jacob Beutel, Daniel J. Mickewich, S. L. Albers

Proceedings Volume 1896, Medical Imaging 1993: Physics of Medical Imaging; (1993) https://doi.org/10.1117/12.154606
Event: Medical Imaging 1993, 1993, Newport Beach, CA, United States

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).

Citation Download Citation

Richard G. Stafford, Jacob Beutel, Daniel J. Mickewich, and S. L. Albers "Application of neural networks to computer-aided pathology detection in mammography", Proc. SPIE 1896, Medical Imaging 1993: Physics of Medical Imaging, (14 September 1993); https://doi.org/10.1117/12.154606

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