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Table 2 The proportion of reasons for misclassification by the deep learning model in internal hold-out testing datasets

From: Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning

Reason

No. (%)

With coexisting eye conditions

24 (29.6%)

With coexisting photo conditions

57 (70.4%)