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Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation
Validation results on 11 patients showed that the accuracy of training labels was statistically significantly improved, with the Dice similarity coefficient of muscle, subcutaneous and visceral adipose tissue increased from 74. 2% to 91. 5%, 91. 2% to 95. 6%, and 77. 6% to 88. 5%, respectively (p<0. 05).
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study
This study evaluates the reliability of an Internal tool for the segmentation of muscle and fat (subcutaneous and visceral) as compared to the well-established public TotalSegmentator tool.
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