Table 3.
Performance of Ai-Doctor in the segmentation of NPAs and BRVO areas (segmentation task)
Segmented areas | DSC % (95% CI) | IoU % (95% CI) | F1 score % (95% CI) |
---|---|---|---|
ZOC dataset | |||
NPAs | 89.7 (85.8–93.6) | 81.3 (76.3–86.3) | 80.0 (74.9–85.1) |
BRVO areas | 94.4 (90.4–98.4) | 89.4 (84.0–94.8) | 92.0 (87.3–96.7) |
SEH dataset | |||
NPAs | 90.1 (86.3–93.9) | 82.0 (77.1–86.9) | 82.3 (77.4–87.2) |
BRVO areas | 92.5 (87.9–97.1) | 86.0 (80.0–92.0) | 89.4 (84.0–94.8) |
FSPH dataset | |||
NPAs | 90.0 (86.1–93.9) | 81.8 (76.8–86.8) | 81.5 (76.5–86.5) |
BRVO areas | 91.7 (86.9–96.5) | 84.7 (78.4–91.0) | 88.3 (82.7–93.9) |
Expansion to other diseases (NPAs) | |||
CRVO | 89.2 (83.4–95.0) | 80.6 (73.2–88.0) | 84.0 (77.2–90.8) |
Retinal vasculitis | 83.6 (78.0–89.2) | 71.9 (65.1–78.7) | 73.0 (66.3–79.7) |
BRVO, branch retinal vein occlusion; CRVO, central retinal vein occlusion; CI, confidence interval; DR, diabetic retinopathy; DSC, Dice similarity coefficient; FSPH, Foshan Second People’s Hospital; IoU, intersection over union; NPA, non-perfusion area; SEH, Shenzhen Eye Hospital; ZOC, Zhongshan Ophthalmic Center.