Giovanni Castiglioni, Joaquín Vallejos, Jhon Intriago, María Isabel Hernández, Samuel Valenzuela, José Fernández, Ignacio Castro, Sergio Valenzuela, Pablo A Estévez, Cecilia Okuma
PURPOSE: We studied a pediatric group of patients with sellar-suprasellar tumors, aiming to develop a convolutional deep learning algorithm for radiological assistance to classify them into their respective cohort. METHODS: T1w and T2w preoperative magnetic resonance images of 226 Chilean patients were collected at the Institute of Neurosurgery Dr. Alfonso Asenjo (INCA), which were divided into three classes: healthy control (68 subjects), craniopharyngioma (58 subjects) and differential sellar/suprasellar tumors (100 subjects)...
April 22, 2024: Child's Nervous System: ChNS: Official Journal of the International Society for Pediatric Neurosurgery