Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priors.
Albert ClèriguesSergi ValverdeArnau OliverXavier LladóPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- deep learning
- brain tissue
- brain anatomy
- magnetic resonance images
- brain tumors
- gray matter
- white matter
- similarity measure
- brain images
- mr images
- unsupervised feature learning
- unsupervised learning
- tissue segmentation
- machine learning
- training data
- weakly supervised
- pairwise
- deep architectures
- cortical surface
- human brain
- training examples
- mental models
- semantic similarity
- brain structures
- text classification
- co occurrence
- input image
- viewpoint
- training set
- object recognition
- decision trees