Super‐resolution of brain tumor MRI images based on deep learning

INTRODUCTION: To explore and evaluate the performance of MRI‐based brain tumor super‐resolution generative adversarial network (MRBT‐SR‐GAN) for improving the MRI image resolution in brain tumors. METHODS: A total of 237 patients from December 2018 and April 2020 with T2‐fluid attenuated inversion r...

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Detalles Bibliográficos
Autores principales: Zhou, Zhiyi, Ma, Anbang, Feng, Qiuting, Wang, Ran, Cheng, Lilin, Chen, Xin, Yang, Xi, Liao, Keman, Miao, Yifeng, Qiu, Yongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680577/
https://www.ncbi.nlm.nih.gov/pubmed/36107021
http://dx.doi.org/10.1002/acm2.13758

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680577/
https://www.ncbi.nlm.nih.gov/pubmed/36107021
http://dx.doi.org/10.1002/acm2.13758

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