Segmentation of the uterine wall by an ensemble of fully convolutional neural networks.
Péter BuraiAndrás HajduFelipe-Riveron Edgardo ManuelBalázs HarangiPublished in: EMBC (2018)
Keyphrases
- convolutional neural networks
- segmentation algorithm
- medical images
- level set
- image segmentation
- segmentation method
- image analysis
- multiscale
- fully automatic
- region growing
- random forest
- segmentation accuracy
- segmentation errors
- convolutional network
- edge detection
- feature extraction
- decision trees
- multiple objects
- random forests
- ensemble classifier
- face recognition