SRGAN training process appears mode collapse. حسب YunYan Wang (12442039)

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SR-YOLO and YOLOv3’s detection of plane images with instance-level noise, the yellow box marks the objects that the YOLOv3 network false detection as the plane. حسب YunYan Wang (12442039)

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Network test comparison. حسب YunYan Wang (12442039)

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Our discriminant networks. حسب YunYan Wang (12442039)

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SR-YOLO and YOLOv3 detect plane images with cloud and fog occlusion. حسب YunYan Wang (12442039)

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Experimental results of different algorithms on UCAS-AOD dataset. حسب YunYan Wang (12442039)

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Training loss function graph. حسب YunYan Wang (12442039)

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FPN and PANet network structure. حسب YunYan Wang (12442039)

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The AP curve of the algorithm in this paper and the current most advanced algorithm. حسب YunYan Wang (12442039)

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Results of the evaluated LFAs and their performance parameters. حسب Ronald López (18098572)

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Preoperative and postoperative scores for the different dimensions of BAROS scores in groups A, B, C D, E, F, and G. حسب Régis Cohen (11419436)

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Demographics, IgG anti-<i>T</i>. <i>cruzi</i> score, and location of residence of participants who provided samples used in this study. حسب Ronald López (18098572)

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Self-reporting questionnaire for employement. حسب Régis Cohen (11419436)

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The index tests (LFAs) used in this study (all used a cassette platform). حسب Ronald López (18098572)

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Sensitivity, specificity, and balanced accuracy for each index test (LFA); the dotted line indicates 95%. حسب Ronald López (18098572)

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Preoperative and postoperative questionnaire scores of groups A, B, C, D, E, F, and G. حسب Régis Cohen (11419436)

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Preoperative baseline characteristics of the population (n = 133). حسب Régis Cohen (11419436)

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Satisfaction scale. حسب Régis Cohen (11419436)

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Excel spreadsheet containing, in separate sheets, the underlying numerical data and statistical analysis for Figs 2 and S1. حسب Ronald López (18098572)

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Sample selection flowchart. حسب Ronald López (18098572)

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