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A No-Reference Quality Metric for Retinal Vessel Tree Segmentation.

, , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 82-90. Springer, (2018)

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MedAL: Deep Active Learning Sampling Method for Medical Image Analysis., , , , , , , , and . CoRR, (2018)Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis., , , , , , , , , and . CoRR, (2017)Automatic Red-Channel underwater image restoration., , , and . J. Vis. Commun. Image Represent., (2015)CATARACTS: Challenge on automatic tool annotation for cataRACT surgery., , , , , , , , , and 9 other author(s). Medical Image Anal., (2019)AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge., , , , , , , , , and 26 other author(s). IEEE Trans. Medical Imaging, 43 (1): 542-557 (January 2024)O-MedAL: Online Active Deep Learning for Medical Image Analysis., , , , , , , , , and 2 other author(s). CoRR, (2019)AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge., , , , , , , , , and 26 other author(s). CoRR, (2023)The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration., , , and . CVPR, page 80-88. IEEE, (2022)On the Duality Between Retinex and Image Dehazing., , , , and . CVPR, page 8212-8221. Computer Vision Foundation / IEEE Computer Society, (2018)Class Adaptive Network Calibration., , , , and . CVPR, page 16070-16079. IEEE, (2023)