Fig 2. Outline of the research methodology.

We compared muscle segmentation performances of fully-supervised learning models and few-supervised and semi-supervised learning models of three different data labeling strategies. The fully-supervised learning employed all labeled data for training, while few-supervised learning employed specific proportions of the labeled data. The semi-supervised learning model utilized a combination of labeled and unlabeled data during training.