CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study

CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study

Abstract Background To construct and assess a computed tomography (CT)-based deep learning radiomics nomogram (DLRN) for predicting the pathological grade of bladder cancer (BCa) preoperatively. Methods We retrospectively enrolled 688 patients with BCa (469 in the training cohort, 219 in the externa...

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Bibliographic Details
Main Authors: Hongzheng Song, Shifeng Yang, Boyang Yu, Na Li, Yonghua Huang, Rui Sun, Bo Wang, Pei Nie, Feng Hou, Chencui Huang, Meng Zhang, Hexiang Wang
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Cancer Imaging
Subjects:
Urinary bladder neoplasms
Computed tomography
Deep learning
Radiomics
Nomogram
Online Access:https://doi.org/10.1186/s40644-023-00609-z

Internet

https://doi.org/10.1186/s40644-023-00609-z

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