Learning-based analysis of amide proton transfer-weighted MRI to identify true progression in glioma patients

The purpose of this study was to develop and verify a convolutional neural network (CNN)-based deep-learning algorithm to identify tumor progression versus response by adding amide proton transfer-weighted (APTw) MRI data to structural MR images as the proposed model input. 145 scans with 2175 MR in...

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Auteurs principaux:	Pengfei Guo, Mathias Unberath, Hye-Young Heo, Charles G. Eberhart, Michael Lim, Jaishri O. Blakeley, Shanshan Jiang
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2022-01-01
Collection:	NeuroImage: Clinical
Sujets:	Amide proton transfer-weighted MRI Convolutional neural network Glioma Treatment effect
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2213158222001863
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