Deep learning on T2WI to predict the muscle-invasive bladder cancer: a multi-center clinical study

Deep learning on T2WI to predict the muscle-invasive bladder cancer: a multi-center clinical study

Abstract To develop a deep learning (DL) model based on MRI to predict muscle-invasive bladder cancer (MIBC). A total of 559 patients, including 521 patients in our center and 38 patients in external centers were collected from 2012 to 2023 to construct the DL model. In this study, the DL model was...

Full description

Saved in:
Bibliographic Details
Main Authors: Lingkai Cai, Xiao Yang, Jie Yu, Qiang Shao, Gongcheng Wang, Baorui Yuan, Juntao Zhuang, Kai Li, Qikai Wu, Peikun Liu, Ruixi Yu, Qiang Cao, Pengchao Li, Xueying Sun, Yuan Zou, Xue Fu, Xiangming Fang, Chunxiao Chen, Qiang Lu
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Bladder cancer
MRI
MIBC
Deep learning
Online Access:https://doi.org/10.1038/s41598-024-82909-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-024-82909-3

Similar Items