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An Interactive Learning Framework for Scalable Classification of Pathology Images
Recent advances in microscopy imaging and genomics have created an explosion of patient data in the pathology domain. Whole-slide images (WSIs) of tissues can now capture disease processes as they unfold in high resolution, recording the visual cues that have been the basis of pathologic diagnosis f...
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| Publicado no: | Proc IEEE Int Conf Big Data |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5082843/ https://ncbi.nlm.nih.gov/pubmed/27796014 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BigData.2015.7363841 |
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