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. 2023 Sep 20;4(10):101197. doi: 10.1016/j.xcrm.2023.101197

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.