Differentiation of Brain Abscess From Cystic Glioma Using Conventional MRI Based on Deep Transfer Learning Features and Hand-Crafted Radiomics Features

Objectives: To develop and validate the model for distinguishing brain abscess from cystic glioma by combining deep transfer learning (DTL) features and hand-crafted radiomics (HCR) features in conventional T1-weighted imaging (T1WI) and T2-weighted imaging (T2WI).Methods: This single-center retrosp...

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Autores principales:	Linlin Bo, Zijian Zhang, Zekun Jiang, Chao Yang, Pu Huang, Tingyin Chen, Yifan Wang, Gang Yu, Xiao Tan, Quan Cheng, Dengwang Li, Zhixiong Liu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	brain abscess deep transfer learning radiomics convolutional neural network cystic glioma Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/2ed773cb17e643c5b45cf997504cd66f
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Differentiation of Brain Abscess From Cystic Glioma Using Conventional MRI Based on Deep Transfer Learning Features and Hand-Crafted Radiomics Features

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