Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors - Grist, James T.; Withey, Stephanie; Bennett, Christopher; Rose, Heather E. L.; MacPherson, Lesley; Oates, Adam; Powell, Stephen; Novak, Jan; Abernethy, Laurence; Pizer, Barry; Bailey, Simon; Clifford, Steven C.; et al. (Scientific reports, 2021)
Keywords: 692/308/3187; 692/308/53/2423; 692/4028/67/1857; 692/4028/67/2321; Adolescent; Bayes Theorem; Bayesian analysis; Biopsy; Brain - diagnostic imaging; Brain - pathology; Brain - surgery; Brain cancer; Brain Neoplasms - diagnosis; Brain Neoplasms - mortality; Brain Neoplasms - pathology; Brain Neoplasms - therapy; Brain tumors; Child; Child, Preschool; Diagnosis; Diffusion Magnetic Resonance Imaging; Female; Humanities and Social Sciences; Humans; Image Processing, Computer-Assisted; Infant; Infant, Newborn; Kaplan-Meier Estimate; Learning algorithms; Machine Learning; Magnetic Resonance Angiography; Magnetic resonance imaging; Male; multidisciplinary; Neoplasm Grading; Neural networks; Neuroimaging; Pediatrics; Perfusion; Risk Assessment - methods; Science; Science (multidisciplinary); Survival; Survival Analysis; Tumors