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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.

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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). https://doi.org/10.1038/s42256-021-00378-z

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