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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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Bibliographic Details
Published in:Proc IEEE Int Symp Bioinformatics Bioeng
Main Authors: Chaudry, Qaiser, Raza, S. Hussain, Sharma, Yachna, Young, Andrew N., Wang, May D.
Format: Artigo
Language:Inglês
Published: 2008
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5382997/
https://ncbi.nlm.nih.gov/pubmed/28393153
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