Harnessing Multiple Level Features to Improve Segmentation Performance of Deep Neural Network: A Case Study in Magnetic Resonance Imaging of Nasopharyngeal Cancer.
Rongzhi MaoLiangxu XieXiaohua LuJialu PeiXiaojun XuShan ChangPublished in: IEEE Access (2024)
Keyphrases
- magnetic resonance imaging
- medical images
- neural network
- mri images
- medical imaging
- mri data
- image segmentation
- magnetic resonance images
- breast mri
- positron emission tomography
- segmentation accuracy
- pattern recognition
- image processing
- image analysis
- beating heart
- partial volume effects
- magnetic resonance
- region growing
- fully automatic
- anatomical structures
- feature extraction
- carotid artery
- computer tomography
- diffusion tensor images
- computer vision