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Table 1 Dataset summary

From: Automated detection of myopic maculopathy from color fundus photographs using deep convolutional neural networks

Data source

Subject characteristics

Grading distribution

No. of images

No. of eyes

No. of individuals

Age

Mean (SD)

Female no./total individuals (%)

Camera

No. of gradable images/total images (%)

No. of no MM/total gradable images (%)

No. of TF/total gradable images (%)

No. of PM/total gradable images (%)

Development dataset

 Qingdao Eye Hospital North Branch of Shandong First Medical University

15,857

15,857

8156

50.8 (11.3)

3809 (46.7)

Canon, Syseye

14,356 (90.5)

11,856 (82.6)

996 (6.9)

1504 (10.5)

 Rongcheng Eye Hospital

15,683

15,683

7919

52.1 (15.4)

3857 (48.7)

Zeiss

13,876 (88.5)

10,647 (76.7)

1749 (12.6)

1480 (10.7)

 Qilu Hospital of Shandong University (Qingdao)

4915

4915

2507

55.2 (13.2)

1243 (49.6)

Canon

4393 (89.4)

2987 (68.0)

620 (14.1)

786 (17.9)

 No. 971 Hospital of the People’s Liberation Army

4139

4139

2184

59.8 (12.9)

1262 (57.8)

Topcon

3890 (94.0)

1896 (48.7)

902 (23.2)

1092 (28.1)

External testing datasets

 Shandong Eye Hospital of Shandong First Medical University

7869

7869

4024

54.5 (15.5)

1898 (47.2)

Topcon

7077 (89.9)

4884 (69.0)

1687 (23.8)

506 (7.2)

 Qingdao Eye Hospital of Shandong First Medical University

8685

8685

4440

49.2 (17.5)

2264 (51.0)

Kowa

7909 (91.1)

6508 (82.3)

747 (9.4)

654 (8.3)

  1. MM = myopic maculopathy; TF = tessellated fundus; PM = pathologic myopia; SD = standard deviation