Machine Learning‐Based Multiparametric Magnetic Resonance Imaging Radiomic Model for Discrimination of Pathological Subtypes of Craniopharyngioma

Background Preoperative, noninvasive discrimination of the craniopharyngioma subtypes is important because it influences the treatment strategy. Purpose To develop a radiomic model based on multiparametric magnetic resonance imaging for noninvasive discrimination of pathological subtypes of cranioph...

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Veröffentlicht in:	Journal of magnetic resonance imaging 2021-11, Vol.54 (5), p.1541-1550
Hauptverfasser:	Huang, Zhou‐San, Xiao, Xiang, Li, Xiao‐Dan, Mo, Hai‐Zhu, He, Wen‐Le, Deng, Yao‐Hong, Lu, Li‐Jun, Wu, Yuan‐Kui, Liu, Hao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms craniopharyngioma Field strength Health care facilities Learning algorithms Machine learning Magnetic resonance imaging Medical imaging Neoplasia Patients Pituitary Population studies radiomic Radiomics Resonance Statistical analysis Statistical tests Support vector machines Training
Online-Zugang:	Volltext
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