Smart Approach for Glioma Segmentation in Magnetic Resonance Imaging using Modified Convolutional Network Architecture (U-NET).
Nosheen SohailSyed Muhammad AnwarFarhat MajeedCesar SanínEdward SzczerbickiPublished in: Cybern. Syst. (2021)
Keyphrases
- network architecture
- magnetic resonance imaging
- medical images
- mri images
- medical imaging
- magnetic resonance images
- brain tumors
- mri data
- artificial neural
- positron emission tomography
- partial volume effects
- breast mri
- carotid artery
- neural network
- brain mri
- magnetic resonance
- long axis
- neural network model
- lesion segmentation
- mr images
- medical image analysis
- segmentation algorithm
- image segmentation
- partial volume
- anatomical structures
- diffusion tensor images
- contrast enhanced
- brain images
- imaging modalities
- brain tissue
- phase unwrapping
- medical data
- beating heart
- x ray
- deformable models
- ct images
- image reconstruction
- pattern recognition
- region growing
- level set
- computer tomography
- image analysis
- image processing
- image registration
- input image
- segmentation method
- automatic segmentation