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  An artificial intelligence approach to detect visual field progression in glaucoma based on spatial pattern analysis

Wang, M., Shen, L. Q., Pasquale, L. R., Petrakos, P., Formica, S., Boland, M. V., et al. (2019). An artificial intelligence approach to detect visual field progression in glaucoma based on spatial pattern analysis. Investigative ophthalmology and visual science (IOVS), 60(1), 365-375. doi:10.1167/iovs.18-25568.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-A623-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-A624-6
Genre: Journal Article

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 Creators:
Wang, Mengyu, Author
Shen, Lucy Q., Author
Pasquale, Louis R., Author
Petrakos, Paul, Author
Formica, Sydney, Author
Boland, Michael V., Author
Wellik, Sarah R., Author
De Moraes, Carlos Gustavo, Author
Myers, Jonathan S., Author
Saeedi, Osamah, Author
Wang, Hui, Author
Baniasadi, Neda, Author
Li, Dian, Author
Tichelaar, Jorryt, Author
Bex, Peter J., Author
Elze, Tobias1, Author
Affiliations:
1Max Planck Institute for Mathematics in the Sciences, Max Planck Society, ou_3039308              

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 Dates: 2019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1167/iovs.18-25568
Other: 82087
 Degree: -

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Title: Investigative ophthalmology and visual science (IOVS)
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 60 (1) Sequence Number: - Start / End Page: 365 - 375 Identifier: ISSN: 1552-5783