M
Mack Bandler
Publications - 2
Citations - 220
Mack Bandler is an academic researcher. The author has contributed to research in topics: Mammography & Breast cancer. The author has an hindex of 2, co-authored 2 publications receiving 33 citations.
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Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach.
William Lotter,Abdul Rahman Diab,Bryan Haslam,Jiye G. Kim,Giorgia Grisot,Eric Wu,Kevin Wu,Jorge Onieva Onieva,Yun Boyer,Jerrold L. Boxerman,Jerrold L. Boxerman,Meiyun Wang,Mack Bandler,Gopal R. Vijayaraghavan,A. Gregory Sorensen +14 more
TL;DR: In this article, an annotation-efficient deep learning approach was proposed for mammogram classification, which achieved state-of-the-art performance on 2D and 3D mammograms.
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Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
William Lotter,Abdul Rahman Diab,Bryan Haslam,Jiye G. Kim,Giorgia Grisot,Eric Wu,Kevin Wu,Jorge Onieva Onieva,Jerrold L. Boxerman,Meiyun Wang,Mack Bandler,Gopal R. Vijayaraghavan,A. Gregory Sorensen +12 more
TL;DR: An annotation-efficient deep learning approach that achieves state-of-the-art performance in mammogram classification, successfully extends to digital breast tomosynthesis (DBT; '3D mammography'), and detects cancers in clinically negative prior mammograms of patients with cancer is presented.