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. 2020 Apr 28;9(2):27. doi: 10.1167/tvst.9.2.27

Table 1.

Description of the Datasets Used in the Deep Learning Models

DIGS/ADAGES MRCH Iinan Hiroshima ACRIMA
Normal Glaucoma Normal Glaucoma Normal Glaucoma Normal Glaucoma Normal Glaucoma
Training dataa 1381/2601/8706 678/1293/5357 1768 1364
Testing dataa 180/319/483 90/150/276 49 61 110 95 75 91 309 396
High myopia (%) 0 2.9 27.5 35.6 0.9 3.2 0 0
VF MD (dB)(95% CI) −0.80(−1.02 to −0.58) −3.32(−3.96 to −2.69) −10.47(−12.60 to −8.34) −4.31(−5.42 to −3.19) −1.28(−2.04 to −0.53) −13.54(−15.38 to −11.71)
Age (years)(95% CI) 54.1(52.7 to 55.5) 63.1(61.7 to 64.4) 55.2(50.1 to 60.4) 65.6(63.1 to 68.1) 76.4(74.8 to 78.1) 78.7(77.1 to 80.4) 51.7(46.2 to 57.1) 66.3(63.6 to 69.0)
Sex (% female) 61.9 60.1 56.9 59.3 56.4 68.4 50.70 45.10
Race (%)
African descent 45.5 31.2 0 0 0 0 0 0 0 0
Japanese descent 1.2 5.4 100 100 100 100 100 100 0 0
European descent 51.6 62.7 0 0 0 0 0 0 100 100
Other/unreported 1.7 0.7 0 0 0 0 0 0 0 0

—, a measurement was unavailable for a given dataset.

a

The UCSD training and testing data are presented as the number of patients/eyes/scans.