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Proceedings Paper

Mammogram analysis using CNN algorithms
Author(s): Gyorgy Liszka; Tamas Roska; Akos Zarandy; J. Hegyesi; L. Kek; Csaba Rekeczky
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Paper Abstract

Analogic CNN algorithms were developed and introduced to detect the major pathological signs of the breast cancer in x-ray mammogram images. The reported algorithms can detect the microcalcifications and the spiculi around a given tumor kernel.

Paper Details

Date Published: 12 May 1995
PDF: 10 pages
Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); doi: 10.1117/12.208717
Show Author Affiliations
Gyorgy Liszka, National Institute of Oncology (Hungary)
Tamas Roska, Computing and Automation Institute (Hungary)
Akos Zarandy, Computing and Automation Institute (Hungary)
J. Hegyesi, National Institute of Oncology (Hungary)
L. Kek, Computing and Automation Institute (Hungary)
Csaba Rekeczky, Computing and Automation Institute (Hungary)

Published in SPIE Proceedings Vol. 2434:
Medical Imaging 1995: Image Processing
Murray H. Loew, Editor(s)

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