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Proceedings Article

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

[+] Author Affiliations
Richard G. Stafford, Jacob Beutel, Daniel J. Mickewich

E.I. du Pont de Nemours & Co., Inc. (USA)

S. L. Albers

Christiana Hospital/Medical Ctr. of Delaware (USA)

Proc. SPIE 1896, Medical Imaging 1993: Physics of Medical Imaging, 341 (September 14, 1993); doi:10.1117/12.154606
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From Conference Volume 1896

  • Medical Imaging 1993: Physics of Medical Imaging
  • Rodney Shaw
  • Newport Beach, CA | February 14, 1993

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).

© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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, 341 (September 14, 1993); doi:10.1117/12.154606; http://dx.doi.org/10.1117/12.154606


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