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. 2018 Oct 25;103(2):167–175. doi: 10.1136/bjophthalmol-2018-313173

Table 1.

Summary table for the different DL systems in the detection of referable diabetic retinopathy, glaucoma suspect, age-related macular degeneration and retinopathy of prematurity using fundus photographs

DL systems Year Test data sets Test images (n) CNN AUC Sensitivity (%) Specificity (%)
Referable diabetic retinopathy
 Abràmoff et al 14 2016 Messidor-2 1748 AlexNet/VGG 0.98 96.80 87.00
 Gulshan et al 12 2016 Messidor-2 1748 Inception-V3 0.99 87 98.50
96.10 93.90
EyePACS-1 9963 0.991 90.30 98.10
97.50 93.40
 Gargeya and Leng15 2017 Kaggle images 75 137 Customised CNN 0.97 NA NA
E-Ophtha 463 0.96 NA NA
Messidor-2 1748 0.94 NA NA
 Ting et al 11 2017 SiDRP 14–15 71 896 VGG-19 0.936 90.50 91.60
Guangdong 15 798 0.949 98.70 81.60
SIMES 3052 0.889 97.10 82.00
SINDI 4512 0.917 99.3 73.3
SCES 1936 0.919 100 76.30
BES 1052 0.929 94.40 88.50
AFEDS 1968 0.98 98.80 86.50
RVEEH 2302 0.983 98.90 92.20
Mexican 1172 0.95 91.80 84.80
CUHK 1254 0.948 99.3 83.10
HKU 7706 0.964 100 81.30
 Abràmoff et al 28 2018 10 primary care practice sites from the USA 892 patients Alex/VGG NA 87.2 90.7
Glaucoma suspect*
 Ting et al 11 2017 SiDRP 14–15 71 896 VGG-19 0.942 96.40 93.20
 Li et al 16 2018 Guangdong 48 116 0.986 95.60 92.00
Age-related macular degeneration
 Ting et al 11 2017 SiDRP 14–15 35 948 VGG-19 0.932 93.20 88.70
 Burlina et al 17 2017 AREDS 120 656 AlexNet, OverFeat 0.940–0.96 NA NA
 Grassmann et al 18 2018 AREDS 120 656 AlexNet, GoogleNet, VGG, Inception-V3, ResNet, Inception-ResNet-V2 NA 84.20 94.30
Retinopathy of prematurity
 Brown et al 19 2018 i-ROP 100 Inception-V1 and U-Net NA 100 94

The diagnostic performance is not comparable between the different DL systems given the different data sets used in the individual study.

*Definition of glaucoma suspect: (1) Ting et al 11—vertical cup to disc ratio of 0.8 or greater, and any glaucomatous disc changes; (2) Li et al 16—vertical cup to disc ratio of 0.7 or greater, and any glaucomatous disc changes.

AFEDS, African American Eye Disease Study; AREDS, Age-Related Eye Disease Study; AUC, area under the receiver operating characteristic curve; BES, Beijing Eye Study; CNN, convolutional neural network; CUHK, Chinese University Hong Kong; DL, deep learning; SiDRP 14–15, Singapore Integrated Diabetic Retinopathy Screening Programme; HKU, Hong Kong University; NA, not available; RVEEH, Royal Victorian Eye and Ear Hospital; SCES, Singapore Chinese Eye Study; SIMES, Singapore Malay Eye Study; SINDI, Singapore Indian Eye Study.