A Neural Network Model Based on Enhanced CT for Distinguishing ISUP Grade of Clear Cell Renal Cell Carcinoma

A Neural Network Model Based on Enhanced CT for Distinguishing ISUP Grade of Clear Cell Renal Cell Carcinoma

Objective To establish a neural network model based on enhanced CT for distinguishing ISUP grade of clear cell renal cell carcinoma (ccRCC). Methods We collected 131 cases of ccRCC, with 92 cases of low ISUP grade and 39 cases of high ISUP grade. Patients were divided into training set and validatio...

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Bibliographic Details
Main Authors: HAN Dong, ZHANG Xirong, JIA Yongjun, REN Ge, LYU Ruihua, SHI Linna, HE Taiping
Format: Article
Language:zho
Published: Magazine House of Cancer Research on Prevention and Treatment 2021-01-01
Series:Zhongliu Fangzhi Yanjiu
Subjects:
multidetector computed tomography
kidney neoplasms
neoplasm grading
neural networks
Online Access:http://html.rhhz.net/ZLFZYJ/html/8578.2021.20.0440.htm

Internet

http://html.rhhz.net/ZLFZYJ/html/8578.2021.20.0440.htm

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