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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Detalles Bibliográficos
Autores principales: Guo, Pengfei, Unberath, Mathias, Heo, Hye-Young, Eberhart, Charles G., Lim, Michael, Blakeley, Jaishri O., Jiang, Shanshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421489/
https://www.ncbi.nlm.nih.gov/pubmed/35905666
http://dx.doi.org/10.1016/j.nicl.2022.103121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421489/
https://www.ncbi.nlm.nih.gov/pubmed/35905666
http://dx.doi.org/10.1016/j.nicl.2022.103121

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