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