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. Author manuscript; available in PMC: 2022 Nov 1.
Published in final edited form as: Am J Ophthalmol. 2021 Jun 6;231:179–193. doi: 10.1016/j.ajo.2021.06.004

FIGURE 5. The algorithm demonstrates similar performance as human graders on interscan repeatability:

FIGURE 5.

Three eyes were imaged 4 times on the same day and lesion segmentation performed. (A) Eye 2, from a patient with serpiginous choroiditis. Boundaries drawn by the algorithm (AG). (B) Eye 6, from a patient with multifocal choroiditis. Boundaries drawn by the AG. (C) Eye 20, from a patient with acute multifocal pigmented placoid epitheliopathy. Boundaries drawn by the AG. (D) Eye 20. Boundaries drawn by human grader 1 (HG1). (E) Eye 20. Boundaries drawn by HG2. Lesion area, CV, and average DSC were determined for each grader on each image. (F) Table showing the total lesion area obtained by each grader on each image, area coefficient of variance (CV), and average DSC.