Unsupervised content-preserving transformation for optical microscopy

The development of deep learning and open access to a substantial collection of imaging data together provide a potential solution for computational image transformation, which is gradually changing the landscape of optical imaging and biomedical research. However, current implementations of deep le...

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Detalles Bibliográficos
Autores principales: Li, Xinyang, Zhang, Guoxun, Qiao, Hui, Bao, Feng, Deng, Yue, Wu, Jiamin, He, Yangfan, Yun, Jingping, Lin, Xing, Xie, Hao, Wang, Haoqian, Dai, Qionghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921581/
https://www.ncbi.nlm.nih.gov/pubmed/33649308
http://dx.doi.org/10.1038/s41377-021-00484-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921581/
https://www.ncbi.nlm.nih.gov/pubmed/33649308
http://dx.doi.org/10.1038/s41377-021-00484-y

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