Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction.
Vinay Chakravarthi GogineniSeverin R. E. LangbergValeriya NaumovaJan F. NygårdMari NygårdMarkus GrasmairStefan WernerPublished in: ACSCC (2021)
Keyphrases
- convolutional neural network
- cervical cancer
- prediction accuracy
- face detection
- prediction model
- directed graph
- graph theory
- prediction error
- computer aided diagnosis
- graph model
- graph representation
- random walk
- decision making
- e learning
- structured data
- risk assessment
- directed acyclic graph
- graph mining
- neural network
- recurrent neural networks
- computer vision
- image analysis
- risk factors
- bipartite graph
- pattern recognition
- multi class