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Lessons from the first DBTex Challenge
Nature Machine Intelligence ( IF 18.8 ) Pub Date : 2021-07-19 , DOI: 10.1038/s42256-021-00378-z Jungkyu Park 1 , Jakub Chłędowski 1, 2 , Jan Witowski 1 , Alexandra Millet 1 , Eric Kim 1 , Alana Lewin 1 , Kristine Pysarenko 1 , Sardius Chen 1 , Julia Goldberg 1 , Shalin Patel 1 , Anastasia Plaunova 1 , Melanie Wegener 1 , Stacey Wolfson 1 , Jiyon Lee 1 , Sana Hava 1 , Sindhoora Murthy 1 , Linda Du 1 , Sushma Gaddam 1 , Ujas Parikh 1 , Laura Heacock 1 , Linda Moy 1 , Beatriu Reig 1 , Krzysztof J. Geras 1 , Yoel Shoshan 3 , Vadim Ratner 3 , Daniel Khapun 3 , Aviad Zlotnick 3 , Ella Barkan 3 , Flora Gilboa-Solomon 3 , Michal Rosen-Zvi 3 , Robert Martí 4 , Pablo Gómez del Campo 4
Nature Machine Intelligence ( IF 18.8 ) Pub Date : 2021-07-19 , DOI: 10.1038/s42256-021-00378-z Jungkyu Park 1 , Jakub Chłędowski 1, 2 , Jan Witowski 1 , Alexandra Millet 1 , Eric Kim 1 , Alana Lewin 1 , Kristine Pysarenko 1 , Sardius Chen 1 , Julia Goldberg 1 , Shalin Patel 1 , Anastasia Plaunova 1 , Melanie Wegener 1 , Stacey Wolfson 1 , Jiyon Lee 1 , Sana Hava 1 , Sindhoora Murthy 1 , Linda Du 1 , Sushma Gaddam 1 , Ujas Parikh 1 , Laura Heacock 1 , Linda Moy 1 , Beatriu Reig 1 , Krzysztof J. Geras 1 , Yoel Shoshan 3 , Vadim Ratner 3 , Daniel Khapun 3 , Aviad Zlotnick 3 , Ella Barkan 3 , Flora Gilboa-Solomon 3 , Michal Rosen-Zvi 3 , Robert Martí 4 , Pablo Gómez del Campo 4
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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.
中文翻译：
第一次 DBTex 挑战的经验教训
一项新的国际竞赛旨在加快 AI 模型的开发，这些模型可以帮助放射科医生从 3D 乳房 X 光照片中的数亿像素中检测可疑病变。前三名获胜的团队相互比较。
更新日期：2021-07-20
中文翻译：
第一次 DBTex 挑战的经验教训
一项新的国际竞赛旨在加快 AI 模型的开发，这些模型可以帮助放射科医生从 3D 乳房 X 光照片中的数亿像素中检测可疑病变。前三名获胜的团队相互比较。
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