Mammogram analysis using CNN algorithms

Gy Liszka, T. Roska, Zarándy, J. Hegyesi, L. Kék, Cs Rekeczky

Research output: Contribution to journalConference article

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)461-470
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2434
DOIs
Publication statusPublished - May 12 1995
EventMedical Imaging 1995: Image Processing - San Diego, United States
Duration: Feb 26 1995Mar 2 1995

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Keywords

  • Analogic CNN algorithms
  • Cellular neural networks
  • Image processing
  • Mammogram analysis
  • Mammography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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