Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs - Ntiri, Emmanuel E.; Holmes, Melissa F.; Forooshani, Parisa M.; Ramirez, Joel; Gao, Fuqiang; Ozzoude, Miracle; Adamo, Sabrina; Scott, Christopher J. M.; Dowlatshahi, Dar; Lawrence-Dewar, Jane M.; Kwan, Donna; Lang, Anthony E.; et al. (Neuroinformatics (Totowa, N.J.), 2021)
Keywords: Aged; Aging; Algorithms; Atrophy; Bioinformatics; Biomedical and Life Sciences; Biomedicine; Cerebral Ventricles - diagnostic imaging; Cerebral Ventricles - pathology; Cognitive ability; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Humans; Image processing; Image Processing, Computer-Assisted; Lesions; Magnetic Resonance Imaging; Neural networks; Neural Networks, Computer; Neurodegeneration; Neuroimaging; Neurology; Neurosciences; Segmentation; Software Original Article; Substantia alba; Ventricle; Deep learning; Vascular lesions; Image segmentation; Total intracranial volume; Ventricles; Brain atrophy