Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Medical Physics"
DOI: 10.1002/mp.15533
Abstract: Abstract Background Skeletal muscle segmentation is an important procedure for assessing sarcopenia, an emerging imaging biomarker of patient frailty. Data annotation remains the bottleneck for training deep learning auto‐segmentation models. Purpose There is a need… read more here.
Keywords: neural networks; muscle; convolutional neural; transfer learning ... See more keywords
Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat–water decomposition MRI
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DOI: 10.1186/s13244-020-00946-8
Abstract: Background Time-efficient and accurate whole volume thigh muscle segmentation is a major challenge in moving from qualitative assessment of thigh muscle MRI to more quantitative methods. This study developed an automated whole thigh muscle segmentation… read more here.
Keywords: muscle segmentation; muscle; fat fraction; segmentation ... See more keywords