Deep learning models for preoperative T-stage assessment in rectal cancer using MRI: exploring the impact of rectal filling

Deep learning models for preoperative T-stage assessment in rectal cancer using MRI: exploring the impact of rectal filling

BackgroundThe objective of this study was twofold: firstly, to develop a convolutional neural network (CNN) for automatic segmentation of rectal cancer (RC) lesions, and secondly, to construct classification models to differentiate between different T-stages of RC. Additionally, it was attempted to...

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Bibliographic Details
Main Authors: Chang Tian, Xiaolu Ma, Haidi Lu, Qian Wang, Chengwei Shao, Yuan Yuan, Fu Shen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Medicine
Subjects:
rectal cancer
T staging
MRI
deep learning
rectal filling
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1326324/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1326324/full

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