REAL LIFE EVIDENCE OF IMPROVED AUTOMATED DETECTION OF DIABETIC RETINOPATHY THROUGH INTEGRATION OF DEEP LEARNING

F. D. Verbraak, A. van der Heijden, C. Klaver, R. O. Schlingemann, G. Nijpels, M. Abramoff

Research output: Contribution to journal › Meeting Abstract › Academic

Original language	English
Pages (from-to)	E116-E117
Journal	European journal of ophthalmology
Volume	27
Issue number	3
Publication status	Published - 2017

Cite this

@article{97ff9bceeb694ace9937f1dbe9f83c34,

title = "REAL LIFE EVIDENCE OF IMPROVED AUTOMATED DETECTION OF DIABETIC RETINOPATHY THROUGH INTEGRATION OF DEEP LEARNING",

author = "Verbraak, {F. D.} and {van der Heijden}, A. and C. Klaver and Schlingemann, {R. O.} and G. Nijpels and M. Abramoff",

year = "2017",

language = "English",

volume = "27",

pages = "E116--E117",

journal = "European journal of ophthalmology",

issn = "1120-6721",

publisher = "Wichtig Publishing",

number = "3",

}

TY - JOUR

T1 - REAL LIFE EVIDENCE OF IMPROVED AUTOMATED DETECTION OF DIABETIC RETINOPATHY THROUGH INTEGRATION OF DEEP LEARNING

AU - Verbraak, F. D.

AU - van der Heijden, A.

AU - Klaver, C.

AU - Schlingemann, R. O.

AU - Nijpels, G.

AU - Abramoff, M.

PY - 2017

Y1 - 2017

M3 - Meeting Abstract

SN - 1120-6721

VL - 27

SP - E116-E117

JO - European journal of ophthalmology

JF - European journal of ophthalmology

IS - 3

ER -