A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.
Ahmed E. FetitAmir AlansaryLucilio Cordero-GrandeJohn CupittAlice B. DavidsonA. David EdwardsJoseph V. HajnalEmer J. HughesKonstantinos KamnitsasVanessa KyriakopoulouAntonios MakropoulosPrachi A. PatkeeAnthony N. PriceMary A. RutherfordDaniel RueckertPublished in: MIDL (2020)
Keyphrases
- brain mri
- deep learning
- manual labeling
- anatomical structures
- magnetic resonance images
- medical images
- region growing
- unsupervised learning
- medical imaging
- machine learning
- mental models
- shape model
- shape analysis
- weakly supervised
- expectation maximization
- text classification
- data sets
- principal component analysis
- human brain
- supervised learning
- image analysis
- support vector
- image processing