Deep learning-based automated detection and segmentation of bone and traumatic bone marrow lesions from MRI following an acute ACL tear.
Callie E. StirlingNathan NeetesonRichard E. A. WalkerSteven K. BoydPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- automated detection
- deep learning
- dermoscopy images
- bone marrow
- breast mri
- automated analysis
- medical images
- brain mri
- magnetic resonance imaging
- unsupervised learning
- multiple sclerosis
- lung cancer
- segmentation algorithm
- medical imaging
- level set
- magnetic resonance images
- computer aided diagnosis
- computer aided
- early detection
- machine learning
- image segmentation
- segmentation method
- mental models
- object segmentation
- visual analysis
- shape prior
- stem cell
- energy function
- training set
- learning algorithm
- decision support system
- weakly supervised
- ct images
- mr images