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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	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
Acceso en línea:	https://doaj.org/article/4a27e8cc978748b0a4b88c65b8b0753b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Sea el primero en dejar un comentario!

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

Ejemplares similares