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Lessons from the first DBTex Challenge

delete2021-07-19
delete6
PRE
AI
J
Jungkyu Park
Y
Yoel Shoshan *
R
Robert Martí *
P
Pablo Gómez del Campo
V
Vadim Ratner
D
Daniel Khapun
A
Aviad Zlotnick
E
Ella Barkan
F
Flora Gilboa-Solomon
J
Jakub Chłędowski
J
Jan Witowski
A
Alexandra Millet
E
Eric Kim
A
Alana A. Lewin
K
Kristine Pysarenko
S
Sardius Chen
J
Julia E. Goldberg
S
Shalin Patel
A
Anastasia Plaunova
M
Melanie Wegener
S
Stacey Wolfson
J
Jiyon Lee
S
Sana Hava
S
Sindhoora Murthy
L
Linda Du
S
Sushma Gaddam
U
Ujas Parikh
L
Laura Heacock
L
Linda Moy
B
Beatriu Reig
M
Michal Rosen‐Zvi
K
Krzysztof J. Geras *
DOI：10.1038/s42256-021-00378-zdelete
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Abstract

Abstract

En 中文
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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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nature Machine Intelligence cover
Nature Machine Intelligence
IF:
23.9
Papers:
1.3K
Citations:
1.5W

Organization

J
jagiellonian university
Scholars:
2.2W
Papers: 1.8W
Citations: 11
I
international business machines (ibm)
Scholars:
5.7K
Papers: 4.5K
Citations: 4
U
universitat de girona
Scholars:
7.1K
Papers: 6.0K
Citations: 5
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