Automatic Glioblastoma Segmentation in Multimodal MR Images Using Improved Fully Convolutional Neural Networks.
Xiaobo LaiXiaomei XuWensheng LiPublished in: J. Medical Imaging Health Informatics (2019)
Keyphrases
- mr images
- medical images
- accurate segmentation
- convolutional neural networks
- brain mr images
- magnetic resonance
- lesion segmentation
- brain tumors
- partial volume
- magnetic resonance images
- mr brain
- intensity inhomogeneity
- segmentation result
- manual segmentation
- magnetic resonance imaging
- brain structures
- mr imaging
- cardiac magnetic resonance
- dice similarity coefficient
- bias field
- mr brain images
- automated segmentation
- intensity distribution
- tissue segmentation
- mri data
- image data
- brain segmentation
- fully automatic
- brain mri
- contrast enhanced
- brain tissue
- model based segmentation
- nonrigid registration
- quantitative measurements
- atlas construction
- inhomogeneity correction
- medical image analysis
- medical imaging
- inter patient
- cerebrospinal fluid
- phantom images
- multiple sclerosis
- region growing
- anatomical structures
- prostate cancer
- brain images
- ct images
- multiscale
- image segmentation
- level set
- segmentation algorithm
- semi automatic
- deformable models
- image analysis
- imaging modalities
- image intensity