MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network.
Satrajit ChakrabartyPamela LaMontagneJoshua S. ShimonyDaniel S. MarcusAristeidis SotirasPublished in: CoRR (2022)
Keyphrases
- convolutional neural network
- multi task
- multi task learning
- feature selection
- face detection
- multiple tasks
- image classification
- magnetic resonance imaging
- learning tasks
- text classification
- multi class
- feature vectors
- evolutionary algorithm
- support vector machine
- decision trees
- classification accuracy
- machine learning
- genetic algorithm
- feature extraction
- support vector
- classification models
- transfer learning
- class labels
- feature space
- data sets
- medical images
- object recognition
- learning problems
- graph cuts
- magnetic resonance images
- multiple kernel learning
- training set
- multitask learning
- mri scans