Robust Medical Image Colorization with Spatial Mask-Guided Generative Adversarial Network

Color medical images provide better visualization and diagnostic information for doctors during clinical procedures than grayscale medical images. Although generative adversarial network-based image colorization approaches have shown promising results, in these methods, adversarial training is appli...

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Detalles Bibliográficos
Autores principales: Zhang, Zuyu, Li, Yan, Shin, Byeong-Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774564/
https://www.ncbi.nlm.nih.gov/pubmed/36550927
http://dx.doi.org/10.3390/bioengineering9120721

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774564/
https://www.ncbi.nlm.nih.gov/pubmed/36550927
http://dx.doi.org/10.3390/bioengineering9120721

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