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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...
Gorde:
| Argitaratua izan da: | Med Image Anal |
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| Egile Nagusiak: | , , , , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2020
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| Gaiak: | |
| Sarrera elektronikoa: | 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 |
| Etiketak: |
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