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Histological Image Feature Mining Reveals Emergent Diagnostic Properties for Renal Cancer
Computer-aided histological image classification systems are important for making objective and timely cancer diagnostic decisions. These systems use combinations of image features that quantify a variety of image properties. Because researchers tend to validate their diagnostic systems on specific...
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| 出版年: | Proceedings (IEEE Int Conf Bioinformatics Biomed) |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5287706/ https://ncbi.nlm.nih.gov/pubmed/28163980 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BIBM.2011.112 |
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