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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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書目詳細資料
發表在:Proc IEEE Int Symp Bioinformatics Bioeng
Main Authors: Chaudry, Qaiser, Raza, S. Hussain, Sharma, Yachna, Young, Andrew N., Wang, May D.
格式: Artigo
語言:Inglês
出版: 2008
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC5382997/
https://ncbi.nlm.nih.gov/pubmed/28393153
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