Fundamental limitations in developing computer-aided detection for mammography

Robert M. Nishikawa*, Lorenzo L. Pesce

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


While asymptomatic screening with mammography has been proven to reduce breast cancer mortality, radiologists miss cancers when reading screening mammograms. Computer-aided detection (CADe) is being developed to help radiologists avoid overlooking a cancer. In this paper, we describe two overarching issues that limit the current development of CADe schemes. These are the inability to optimize a scheme for clinical impact current methods only optimize for how well the CADe scheme works in the absence of a radiologist and the lack of a figure of merit that quantifies the performance efficiency of the CADe scheme. Such a figure of merit could be used to determine how much better performance a CADe scheme could obtain, at least in theory, and which component of the several techniques employed in the CADe scheme is the weakest link.

Original languageEnglish (US)
Pages (from-to)S251-S254
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Issue numberSUPPL. 1
StatePublished - Aug 21 2011


  • Breast imaging
  • Computer-aided detection
  • Mammography
  • Screening

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Instrumentation


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