CNN-Based Cross-Modal Residual Network for Image Synthesis

This study attempts to address the issue that present cross-modal image synthesis algorithms do not capture the spatial and structural information of human tissues effectively. As a consequence, the resulting photos include flaws including fuzzy edges and a poor signal-to-noise ratio. The authors of...

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Detalles Bibliográficos
Autores principales: Kumar, Rajeev, Bhatnagar, Vaibhav, Jain, Amit, Singh, Mahesh, Kareem, Z. H., Sugumar, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385350/
https://www.ncbi.nlm.nih.gov/pubmed/35993059
http://dx.doi.org/10.1155/2022/6399730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385350/
https://www.ncbi.nlm.nih.gov/pubmed/35993059
http://dx.doi.org/10.1155/2022/6399730

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