Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration

Phillippe Burlina; Neil Joshi; Katia D. Pacheco; David E. Freund; Jun Kong; Neil M. Bressler

doi:10.1001/jamaophthalmol.2018.3799

Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration

Phillippe Burlina, Neil Joshi, Katia D. Pacheco, David E. Freund, Jun Kong, Neil M. Bressler

School of Medicine

Research output: Contribution to journal › Letter › peer-review

21 Scopus citations

Original language	English (US)
Pages (from-to)	1305-1307
Number of pages	3
Journal	JAMA ophthalmology
Volume	136
Issue number	11
DOIs	https://doi.org/10.1001/jamaophthalmol.2018.3799
State	Published - Nov 2018

ASJC Scopus subject areas

Ophthalmology

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10.1001/jamaophthalmol.2018.3799

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@article{70583f57d22e414b932b8b85d529fa35,

title = "Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration",

author = "Phillippe Burlina and Neil Joshi and Pacheco, {Katia D.} and Freund, {David E.} and Jun Kong and Bressler, {Neil M.}",

note = "Funding Information: Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Drs Burlina, Freund, and Bressler report holding a patent on a system and method for the automated detection of age-related macular degeneration and other retinal abnormalities. No other disclosures are reported. Funding/Support: This work was supported in part by award R21EY024310 from the National Eye Institute (Drs Burlina and Bressler), the Johns Hopkins Applied Physics Laboratory, the James P. Gills Professorship, and unrestricted research funds to the Johns Hopkins University School of Medicine Retina Division for Macular Degeneration and Related Diseases Research.",

year = "2018",

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doi = "10.1001/jamaophthalmol.2018.3799",

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AU - Burlina, Phillippe

AU - Joshi, Neil

AU - Pacheco, Katia D.

AU - Freund, David E.

AU - Kong, Jun

AU - Bressler, Neil M.

N1 - Funding Information: Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Drs Burlina, Freund, and Bressler report holding a patent on a system and method for the automated detection of age-related macular degeneration and other retinal abnormalities. No other disclosures are reported. Funding/Support: This work was supported in part by award R21EY024310 from the National Eye Institute (Drs Burlina and Bressler), the Johns Hopkins Applied Physics Laboratory, the James P. Gills Professorship, and unrestricted research funds to the Johns Hopkins University School of Medicine Retina Division for Macular Degeneration and Related Diseases Research.

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DO - 10.1001/jamaophthalmol.2018.3799

M3 - Letter

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Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration

ASJC Scopus subject areas

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