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. 2023 Aug 29;29(9):1342–1348. doi: 10.1089/tmj.2022.0405

Table 4.

ImageQX Performance on Poor Image Quality Explanation Performance over Five Training Runs (Mean ± Standard Deviation)

REASON SENSITIVITY SPECIFICITY F1-SCORE
Bad framing 0.31 ± 0.01 0.96 ± 0.00 0.37 ± 0.01
Bad light 0.58 ± 0.02 0.90 ± 0.01 0.61 ± 0.00
Blurry 0.60 ± 0.02 0.95 ± 0.00 0.70 ± 0.01
Low resolution 0.47 ± 0.02 0.92 ± 0.01 0.52 ± 0.01
Too far away 0.35 ± 0.02 0.98 ± 0.00 0.42 ± 0.02
Mean 0.39 ± 0.01 0.95 ± 0.00 0.45 ± 0.01

F1-scores in bold show the explanations where ImageQX reaches expert-level performance.