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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Medical images differ from natural images in significantly higher resolutions and smaller regions of interest. Because of these differences, neural network architectures that work well for natural images might not be applicable to medical image analysis. In this work, we propose a novel neural netwo...

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Bibliografske podrobnosti
izdano v:Med Image Anal
Main Authors: Shen, Yiqiu, Wu, Nan, Phang, Jason, Park, Jungkyu, Liu, Kangning, Tyagi, Sudarshini, Heacock, Laura, Kim, S. Gene, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J.
Format: Artigo
Jezik:Inglês
Izdano: 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7828643/
https://ncbi.nlm.nih.gov/pubmed/33383334
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2020.101908
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