A super-resolution network using channel attention retention for pathology images

Image super-resolution (SR) significantly improves the quality of low-resolution images, and is widely used for image reconstruction in various fields. Although the existing SR methods have achieved distinguished results in objective metrics, most methods focus on real-world images and employ large...

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Detalles Bibliográficos
Autores principales: Jia, Feiyang, Tan, Li, Wang, Ge, Jia, Caiyan, Chen, Zhineng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280234/
https://www.ncbi.nlm.nih.gov/pubmed/37346623
http://dx.doi.org/10.7717/peerj-cs.1196

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280234/
https://www.ncbi.nlm.nih.gov/pubmed/37346623
http://dx.doi.org/10.7717/peerj-cs.1196

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