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Lessons from the first DBTex Challenge

A new international competition aims to speed up the development of AI models that can assist radiologists in detecting suspicious lesions from hundreds of millions of pixels in 3D mammograms. The top three winning teams compare notes.

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Fig. 1: Example outputs of breast lesion detection on DBT volumes from NYU.


  1. Aase, H. S. et al. Eur. Radiol. 29, 1175–1186 (2019).

    Article  Google Scholar 

  2. Buda, M. et al. Preprint at (2020).

  3. Clark, K. et al. J. Digit. Imaging 26, 1045–1057 (2013).

    Article  Google Scholar 

  4. Buda, M. et al. Data from the breast cancer screening — digital breast tomosynthesis (BCS-DBT). The Cancer Imaging Archive (2020).

  5. Grand Challenge: Digital Breast Tomosynthesis Lesion Detection (SPIE, 2021);

  6. Shoshan, Y. et al. In Medical Image Computing and Computer Assisted Intervention (eds de Bruijne, M. et al.) (Springer, 2021).

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Correspondence to Yoel Shoshan, Robert Martí or Krzysztof J. Geras.

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Park, J., Shoshan, Y., Martí, R. et al. Lessons from the first DBTex Challenge. Nat Mach Intell 3, 735–736 (2021).

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