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Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images
Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and automated image analysis approaches have great potential to increase precision of diagnosis and help reduce human error. In this study, we utilize several computational methods based on convolutional neural netwo...
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| Publié dans: | EBioMedicine |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5828543/ https://ncbi.nlm.nih.gov/pubmed/29292031 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ebiom.2017.12.026 |
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