Deep learning approaches for automated classification and segmentation of head and neck cancers and brain tumors in magnetic resonance images: a meta-analysis study.
Samireh BadrigilanShahabedin NabaviAhmad Ali AbinNima RostampourIraj AbediAtefeh ShirvaniMohsen Ebrahimi MoghaddamPublished in: Int. J. Comput. Assist. Radiol. Surg. (2021)
Keyphrases
- brain tumors
- magnetic resonance images
- meta analysis
- mr images
- medical images
- deep learning
- medical imaging
- tumor segmentation
- brain tissue
- automated classification
- brain mr images
- brain scans
- magnetic resonance imaging
- white matter
- medical image analysis
- magnetic resonance
- gene expression profiles
- brain tumor segmentation
- data mining
- machine learning
- mri data
- diffusion tensor
- image segmentation
- unsupervised learning
- high resolution
- object recognition
- image processing
- data sets
- shape analysis
- computer vision
- training data
- level set
- brain images
- segmentation algorithm
- energy function