A curated mammography data set for use in computer-aided detection and diagnosis research

Published research results are difficult to replicate due to the lack of a standard evaluation data set in the area of decision support systems in mammography; most computer-aided diagnosis (CADx) and detection (CADe) algorithms for breast cancer in mammography are evaluated on private data sets or on unspecified subsets of public databases. This causes an inability to directly compare the performance of methods or to replicate prior results. We seek to resolve this substantial challenge by releasing an updated and standardized version of the Digital Database for Screening Mammography (DDSM) for evaluation of future CADx and CADe systems (sometimes referred to generally as CAD) research in mammography. Our…

• UD
  U.S. Department of Health and Human Services

  Award: HHSN261200800001E
• NI
  National Institutes of Health

  Awards: Contract No. HHSN261200800001E, HHSN261200800001E
• NC
  National Cancer Institute

  Awards: No. HHSN261200800001E, Contract No. HHSN261200800001E