Fudan University Journal of Medical Sciences

Feasibility study on automatic segmentation of pelvic intestinal tube for radiotherapy images based on deep learning

Yu-jie ZHANG, Xu YUAN, Han XIAO, Jian-ying ZHANG

Fudan University Journal of Medical Sciences, 2024, 51(02): 243-248. DOI: 10.3969/j.issn.1672-8467.2024.02.015

Tab 1 Number of cases used in the 4 models

Other figure/table from this article

Fig 1 Manual segmentation (red), original automatic segmentation (blue) and trained automatic segmentation (green) of the small intestine in 3 cases
Fig 2 Data distribution and box plots for DSC, HD95 and ASD in the test cases (n=40) Paired t test between Rec60 and the original model.
Tab 2 DSC, HD95 and ASD for the original model and Rec60 model in the test cases (${\bar x}$±s, n=40)
Tab 3 The mean DSCs of the 5 automatic segmentation models and their paired t tests
Tab 4 The mean HD95s of the 5 automatic segmentation models and their paired t tests
Tab 5 The mean ASSDs of the 5 automatic segmentation models and their paired t test