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

OBJECTIVES: This 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) imag...

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Detalles Bibliográficos
Autores principales: Zuo, Teng, Zheng, Yanhua, He, Lingfeng, Chen, Tao, Zheng, Bin, Zheng, Song, You, Jinghang, Li, Xiaoyan, Liu, Rong, Bai, Junjie, Si, Shuxin, Wang, Yingying, Zhang, Shuyi, Wang, Lili, Chen, Jianhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637858/
https://www.ncbi.nlm.nih.gov/pubmed/34868946
http://dx.doi.org/10.3389/fonc.2021.746750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637858/
https://www.ncbi.nlm.nih.gov/pubmed/34868946
http://dx.doi.org/10.3389/fonc.2021.746750

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