Bridging the Gap: Exploring Interpretability in Deep Learning Models for Brain Tumor Detection and Diagnosis from MRI Images.
Wandile NhlaphoMarcellin AtemkengYusuf BrimaJean Claude NdogmoPublished in: Inf. (2024)
Keyphrases
- learning models
- mri images
- tumor detection
- mri brain images
- brain tissue
- brain tumors
- medical images
- magnetic resonance images
- brain images
- magnetic resonance imaging
- loss function
- imaging modalities
- machine learning
- mri data
- learning algorithm
- semi supervised learning
- learning tasks
- mr images
- learning problems
- capsule endoscopy
- machine learning algorithms
- classification models
- magnetic resonance
- low contrast
- semi supervised
- conditional random fields
- anatomical structures
- automatic segmentation
- active learning
- microarray
- training data
- image processing
- human brain
- data sets