Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks.
Gaurav YengeraDidier MutterJacques MarescauxNicolas PadoyPublished in: CoRR (2018)
Keyphrases
- convolutional neural network
- training phase
- object recognition
- recognition rate
- recognition accuracy
- echo state networks
- recurrent neural networks
- recurrent networks
- automatic recognition
- surgical training
- network structure
- feature extraction
- complex networks
- learning stage
- training set
- social networks
- keywords
- supervised training
- pattern recognition
- learning phase
- training process
- recognition algorithm
- training samples
- semantic annotation
- training examples
- serious games
- face detection
- feature space
- recognition process
- cellular neural networks
- supervised learning
- image annotation
- virtual reality