Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks.
América BuenoIgnacio BoschAlejandro RodríguezAna JiménezJoan CarreresMatías FernándezLuis Martí-BonmatíAngel Alberich-BayarriPublished in: J. Digit. Imaging (2022)
Keyphrases
- spinal cord
- multiple sclerosis
- magnetic resonance images
- brain mri
- convolutional neural networks
- medical images
- magnetic resonance imaging
- white matter
- mr images
- gad enhancing
- lesion segmentation
- brain tissue
- mri data
- medical imaging
- automatically segmenting
- brain tumors
- manual segmentation
- brain structures
- automatic segmentation
- corpus callosum
- medical image analysis
- diffusion tensor
- anatomical structures
- magnetic resonance
- high resolution
- computed tomography
- segmentation method
- synthetic data
- multiscale
- clinical trials
- image processing
- fully automated
- ct images
- fully automatic
- image segmentation