1. Lessons from the first DBTex Challenge
- Author
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Kristine Pysarenko, Pablo Gómez del Campo, Daniel Khapun, Alana A. Lewin, Linda Moy, Jungkyu Park, Yoel Shoshan, Sindhoora Murthy, Julia E. Goldberg, Robert Martí, Ella Barkan, Linda Du, Jakub Chłędowski, Ujas Parikh, Anastasia Plaunova, Krzysztof J. Geras, Sardius Chen, Alexandra Millet, Laura Heacock, Sushma Gaddam, Melanie Wegener, Eric H. Kim, Vadim Ratner, Beatriu Reig, Shalin Patel, Sana Hava, Jan Witowski, Stacey Wolfson, Michal Rosen-Zvi, Aviad Zlotnick, Jiyon Lee, and Flora Gilboa-Solomon
- Subjects
body regions ,Human-Computer Interaction ,Competition (economics) ,Pixel ,Artificial Intelligence ,Computer Networks and Communications ,Computer science ,health care facilities, manpower, and services ,education ,Computer Vision and Pattern Recognition ,Data science ,health care economics and organizations ,Software - Abstract
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.
- Published
- 2021