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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Автори:	Chang Tian, Xiaolu Ma, Haidi Lu, Qian Wang, Chengwei Shao, Yuan Yuan, Fu Shen
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Frontiers Media S.A. 2023-11-01
Серія:	Frontiers in Medicine
Предмети:	rectal cancer T staging MRI deep learning rectal filling
Онлайн доступ:	https://www.frontiersin.org/articles/10.3389/fmed.2023.1326324/full
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