Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.
Vanya V. ValindriaIoannis LavdasWenjia BaiKonstantinos KamnitsasEric O. AboagyeAndrea G. RockallDaniel RueckertBen GlockerPublished in: CoRR (2018)
Keyphrases
- domain adaptation
- organ segmentation
- classification accuracy
- medical images
- computer aided diagnosis
- training data
- liver segmentation
- multiple sources
- level set
- feature selection
- naive bayes
- labeled data
- mr images
- semi supervised
- training set
- ct scans
- medical image segmentation
- medical image processing
- medical imaging
- cross domain
- sentiment classification
- ct data
- target domain
- test data
- fully automatic
- semi supervised learning
- support vector
- transfer learning
- feature set
- document classification
- ct images
- medical image analysis
- unlabeled data
- feature space
- breast cancer
- high resolution
- high dimensional
- image processing