Comparison of Supervised and Unsupervised Deep Learning Methods for Medical Image Synthesis between Computed Tomography and Magnetic Resonance Images

Cross-modality medical image synthesis between magnetic resonance (MR) images and computed tomography (CT) images has attracted increasing attention in many medical imaging area. Many deep learning methods have been used to generate pseudo-MR/CT images from counterpart modality images. In this study...

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Detalles Bibliográficos
Autores principales: Li, Yafen, Li, Wen, Xiong, Jing, Xia, Jun, Xie, Yaoqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661122/
https://www.ncbi.nlm.nih.gov/pubmed/33204701
http://dx.doi.org/10.1155/2020/5193707

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661122/
https://www.ncbi.nlm.nih.gov/pubmed/33204701
http://dx.doi.org/10.1155/2020/5193707

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