Fig. 8: Identifying complicated peripheral lesions. | npj Digital Medicine

Fig. 8: Identifying complicated peripheral lesions.

From: Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning

Fig. 8

a Concurrent distribution of peripheral retinal lesions: no peripheral lesion (NoPL), lattice degeneration or cystic retinal tuft (LDoCRT), holes or tears (HoT), rhegmatogenous retinal detachment (RRD), and postoperative cases (PC). Peripheral lesions may have different concurrent relationships with each other, or they may occur separately. b Model performance on peripheral lesion identification. The blue facecolor represents the mean of the results, and the green outer and red inner boundaries represent the upper and lower bounds of the 95% confidence interval, respectively. All radar plots display class-wise performance on specific metrics, with the last radar plot representing the average performance on all evaluated metrics.

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