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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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| Publicado no: | Med Image Anal |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | 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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