Comparative parotid gland segmentation by using ResNet-18 and MobileNetV2 based DeepLab v3+ architectures from magnetic resonance images.
Kubilay Muhammed SunnetciEsat KabaFatma Beyazal ÇelikerAhmet AlkanPublished in: Concurr. Comput. Pract. Exp. (2023)
Keyphrases
- magnetic resonance images
- brain mri
- medical images
- partial volume
- brain scans
- brain tumors
- medical imaging
- tissue segmentation
- multiple sclerosis lesions
- mri images
- mr images
- bias field
- mri brain
- intra subject
- brain structures
- white matter
- subcortical structures
- medical diagnosis
- mri data
- brain tissue
- magnetic resonance imaging
- prostate cancer
- intensity distribution
- accurate segmentation
- medical image analysis
- partial volume effects
- high resolution
- gray matter
- segmentation algorithm
- corpus callosum
- image segmentation
- manual segmentation
- image intensity
- mr imaging
- region growing
- segmentation method
- anatomical structures
- brain tumor segmentation
- multiscale
- ct images
- image processing
- diffusion tensor
- image analysis
- image registration
- level set
- graph cuts
- diffusion weighted
- cerebrospinal fluid
- mr brain images
- ultrasound images
- brain mr images