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Machine Learning Based Non-Enhanced CT Radiomics for the Identification of Orbital Cavernous Venous Malformations: An Innovative Tool
Author(s) -
Qing Han,
Lianze Du,
Mingxia Yan,
Chencui Huang,
Qinghai Yuan
Publication year - 2022
Publication title -
the journal of craniofacial surgery/the journal of craniofacial surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.515
H-Index - 73
eISSN - 1536-3732
pISSN - 1049-2275
DOI - 10.1097/scs.0000000000008446
Subject(s) - medicine , artificial intelligence , random forest , feature selection , receiver operating characteristic , support vector machine , radiomics , machine learning , test set , classifier (uml) , diagnostic accuracy , pattern recognition (psychology) , radiology , computer science

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