DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks.
Zehao DongYixin ChenTianyu ZhaoPublished in: CoRR (2024)
Keyphrases
- learning models
- neural network
- semi supervised learning
- machine learning
- learning algorithm
- learning tasks
- learning paradigms
- machine learning algorithms
- loss function
- conditional random fields
- pattern recognition
- classification models
- learning problems
- image processing
- support vector machine
- sparse metric learning
- markov random field
- text mining
- text categorization
- k means
- artificial neural networks
- feature space
- genetic algorithm
- predictive model