Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs.
Emmanuel E. NtiriMelissa F. HolmesParisa Mojiri ForooshaniJoel RamirezFuqiang GaoMiracle OzzoudeSabrina AdamoChristopher J. M. ScottDar DowlatshahiJane M. Lawrence-DewarDonna KwanAnthony E. LangSean SymonsRobert BarthaStephen C. StrotherJean-Claude TardifMario MasellisRichard H. SwartzAlan MoodySandra E. BlackMaged GoubranPublished in: Neuroinformatics (2021)
Keyphrases
- cerebrospinal fluid
- gray matter
- white matter
- magnetic resonance images
- multiple sclerosis lesions
- level set
- image segmentation
- multiple sclerosis
- brain mr images
- cellular neural networks
- magnetic resonance imaging
- computer aided detection
- medical images
- computer aided diagnosis
- mr brain images
- breast mri
- brain tissue
- lesion detection
- brain tumors
- shape prior
- region growing
- fully automatic
- segmentation algorithm
- image analysis
- mri data
- computer aided
- partial volume
- accurate segmentation
- partial volume effects