Work

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning

Year: 2019

Type: article

Source: Nature Biomedical Engineering

DOI: 10.1038/s41551-019-0362-y

Authors: Yair Rivenson, Hongda Wang, Zhensong Wei, Kevin de Haan, Yibo Zhang, Yichen Wu, Harun Günaydın, Jonathan E. Zuckerman, Thomas Chong, Anthony E. Sisk, Lindsey M. Westbrook, W. Dean Wallace, Aydogan Ozcan

Institutions: California NanoSystems Institute, University of California, Los Angeles

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Howard Hughes Medical Institute, European Commission, National Institutes of Health, Horizon 2020 Framework Programme, Division of Chemical, Bioengineering, Environmental, and Transport Systems, Division of Emerging Frontiers in Research and Innovation, Army Research Office, Life Sciences Division, Army Research Office

Awards: G1314525040, G2719524820, G3291143030, G3345895242, G526393511, Multi-functional Computational Microscopy for Quantitative Cell Tracking

OpenAlex ID: W3098491829

FWCI: 29.68

Cites: 38

Cited by: 653

Related to: 10