Brain tumour segmentation of MR images based on custom attention mechanism with transfer-learning.
Marjan VatanpourJavad HaddadniaPublished in: IET Image Process. (2024)
Keyphrases
- mr images
- transfer learning
- medical images
- brain tumors
- brain mr images
- brain structures
- magnetic resonance
- brain tissue
- tissue segmentation
- attention mechanism
- magnetic resonance images
- accurate segmentation
- brain images
- partial volume
- gray matter
- cerebrospinal fluid
- mid sagittal plane
- labeled data
- reinforcement learning
- medical imaging
- intensity inhomogeneity
- mri data
- semi supervised learning
- brain segmentation
- bias field
- image data
- anatomical structures
- learning algorithm
- machine learning
- active learning
- collaborative filtering
- magnetic resonance imaging
- mr imaging
- inhomogeneity correction
- text classification
- machine learning algorithms
- prostate cancer
- human brain
- atlas based segmentation
- domain specific
- text categorization
- level set
- contrast enhanced
- text mining
- model based segmentation
- segmentation method
- cortical surface
- brain mri
- visual attention
- image registration
- data points
- saliency map
- automatic segmentation