The DBTex Challenge (https://spie-aapm-nci-dair.westus2.cloudapp.azure.com/competitions/4) requires submitting algorithms for the detection of biopsy-proven breast lesions on digital breast tomosynthesis (DBT) images. The results of the competition will be announced at the special session of the SPIE Medical Imaging 2021 conference. Participants in the first DBTex Grand Challenge are encouraged to submit their work for peer review to the SPIE’s Journal of Medical Imaging.
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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))
Phase 1: Dec 14, 2020 - Jan 26, 2021 (https://spie-aapm-nci-dair.westus2.cloudapp.azure.com/competitions/4)
Phase 2: May24, 2021 - July 24, 2021 (https://spie-aapm-nci-dair.westus2.cloudapp.azure.com/competitions/6)
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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