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27 March 2008Toward a standard reference database for computer-aided mammography
Because of the lack of mammography databases with a large amount of codified images and identified characteristics
like pathology, type of breast tissue, and abnormality, there is a problem for the development of robust systems for
computer-aided diagnosis. Integrated to the Image Retrieval in Medical Applications (IRMA) project, we present an
available mammography database developed from the union of: The Mammographic Image Analysis Society Digital
Mammogram Database (MIAS), The Digital Database for Screening Mammography (DDSM), the Lawrence Livermore
National Laboratory (LLNL), and routine images from the Rheinisch-Westfälische Technische Hochschule (RWTH)
Aachen. Using the IRMA code, standardized coding of tissue type, tumor staging, and lesion description was developed
according to the American College of Radiology (ACR) tissue codes and the ACR breast imaging reporting and data
system (BI-RADS). The import was done automatically using scripts for image download, file format conversion, file
name, web page and information file browsing. Disregarding the resolution, this resulted in a total of 10,509 reference
images, and 6,767 images are associated with an IRMA contour information feature file. In accordance to the respective
license agreements, the database will be made freely available for research purposes, and may be used for image based
evaluation campaigns such as the Cross Language Evaluation Forum (CLEF). We have also shown that it can be
extended easily with further cases imported from a picture archiving and communication system (PACS).
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Júlia E. E. Oliveira, Mark O. Gueld, Arnaldo de A. Araújo, Bastian Ott, Thomas M. Deserno, "Toward a standard reference database for computer-aided mammography," Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 69151Y (27 March 2008); https://doi.org/10.1117/12.770325