Computed Tomography–Based Differentiation of Benign and Malignant Craniofacial Lesions in Neurofibromatosis Type I Patients: A Machine Learning Approach

Computed Tomography–Based Differentiation of Benign and Malignant Craniofacial Lesions in Neurofibromatosis Type I Patients: A Machine Learning Approach

Background: Because neurofibromatosis type I (NF1) is a cancer predisposition disease, it is important to distinguish between benign and malignant lesions, especially in the craniofacial area.Purpose: The purpose of this study is to improve effectiveness in the diagnostic performance in discriminati...

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Bibliographic Details
Main Authors: Cheng-Jiang Wei, Cheng Yan, Yan Tang, Wei Wang, Yi-Hui Gu, Jie-Yi Ren, Xi-Wei Cui, Xiang Lian, Jin Liu, Hui-Jing Wang, Bin Gu, Tao Zan, Qing-Feng Li, Zhi-Chao Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Oncology
Subjects:
computed tomography
craniofacial lesion
neurofibromatosis type I
malignant peripheral nerve sheath tumor
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.01192/full

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