Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning

ObjectivesThis study was conducted in order to design and develop a framework utilizing deep learning (DL) to differentiate papillary renal cell carcinoma (PRCC) from chromophobe renal cell carcinoma (ChRCC) using convolutional neural networks (CNNs) on a small set of computed tomography (CT) images...

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Auteurs principaux:	Teng Zuo, Yanhua Zheng, Lingfeng He, Tao Chen, Bin Zheng, Song Zheng, Jinghang You, Xiaoyan Li, Rong Liu, Junjie Bai, Shuxin Si, Yingying Wang, Shuyi Zhang, Lili Wang, Jianhui Chen
Format:	article
Langue:	EN
Publié:	Frontiers Media S.A. 2021
Sujets:	CNN—convolutional neural network PRCC papillary renal cell carcinoma ChRCC,·chromophobe-primary renal cell carcinoma cancer image classification Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Accès en ligne:	https://doaj.org/article/4a27e8cc978748b0a4b88c65b8b0753b
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Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning

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