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Improving Renal Cell Carcinoma Classification by Automatic Region of Interest Selection
In this paper, we present an improved automated system for classification of pathological image data of renal cell carcinoma. The task of analyzing tissue biopsies, generally performed manually by expert pathologists, is extremely challenging due to the variability in the tissue morphology, the prep...
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| Publicado no: | Proc IEEE Int Symp Bioinformatics Bioeng |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5382997/ https://ncbi.nlm.nih.gov/pubmed/28393153 |
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