Keywords: Muscle, Machine Learning/Artificial Intelligence, muscle segmentation, fusion, variational modelAccurate automatic MRI thigh muscle group segmentation is essential for muscle morphology and composition which are related to osteoarthritis and sarcopenia. Due to challenges caused by lack of contrast between muscle groups, Deep Learning (DL) becomes a more natural choice than traditional model based approaches. It is however expensive to obtain a large amount of training data and DL using small training data often results in overfitting. We use a variational model based segmentation method in conjunction with a Bayesian neural network to optimize the train framework, producing about 1.6% increase in dice coefficients while working with minimal annotated data.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords