Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus—transfer learning from existing algorithms - Grimm, Florian; Edl, Florian; Kerscher, Susanne R.; Nieselt, Kay; Gugel, Isabel; Schuhmann, Martin U. (Acta neurochirurgica, 2020)
Keywords: Accuracy; Algorithms; Brain - diagnostic imaging; Cerebrospinal fluid; Cerebrospinal Fluid - diagnostic imaging; Child; Datasets; Deep learning; Female; Humans; Hydrocephalus; Hydrocephalus - diagnostic imaging; Image processing; Image Processing, Computer-Assisted - methods; Interventional Radiology; Learning algorithms; Machine Learning; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Medicine; Medicine & Public Health; Minimally Invasive Surgery; Neural networks; Neuroimaging; Neurology; Neuroradiology; Neurosurgery; Original - Pediatric Neurosurgery; Original Article - Pediatric Neurosurgery; Patients; Pediatric Neurosurgery; Pediatrics; Segmentation; Semantics; Surgical Orthopedics; Transfer learning; Deep learning; Image segmentation; Area determination; CSF volume; Brain volume; Pediatric hydrocephalus