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This challenge is organized by SPIE (the international society for optics and photonics), The American Association of Physicists in Medicine (AAPM), the National Cancer Institute (NCI), and Duke Center for Artificial Intelligence in Radiology (DAIR).
Data for this study was originally hosted by TCIA as part of the Breast Cancer Screening - Digital Breast Tomosynthesis (BCS-DBT) collection (Breast Cancer Screening – Digital Breast Tomosynthesis (BCS-DBT))
Task:
To detect breast lesions that subsequently underwent biopsy and provide the location and size of a bounding box, as well as a confidence score for each detected lesion candidate. The dataset contains DBT exams with breast cancers, biopsy-proven benign lesions, actionable non-biopsied findings, as well as normals (scans without any findings). The task is to detect biopsy-proven lesions (masses or architectural distortions) only.
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