Prediction of FFR from IVUS Images Using Machine Learning.
Geena KimJune-Goo LeeSoo-Jin KangPaul NgyuenDo-Yoon KangPil Hyung LeeJung-Min AhnDuk-Woo ParkSeung-Whan LeeYoung-Hak KimCheol Whan LeeSeong-Wook ParkSeung-Jung ParkPublished in: CVII-STENT/LABELS@MICCAI (2018)
Keyphrases
- machine learning
- prediction accuracy
- prediction error
- recursive neural networks
- machine learning algorithms
- supervised machine learning
- feature selection
- prediction algorithm
- machine learning methods
- learning algorithm
- predictive modeling
- prediction model
- learning systems
- real time
- knowledge acquisition
- machine learning approaches
- reinforcement learning
- neural network
- computational intelligence
- pattern recognition
- knowledge representation
- information extraction
- natural language
- inductive learning
- support vector machine
- decision trees
- machine learning and data mining
- website
- computer vision
- data mining
- protein secondary structure prediction
- machine learning and statistical
- model selection