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Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy., , , and . Comput. Biol. Medicine, (2021)Focal Attention Networks: optimising attention for biomedical image segmentation., , , , and . CoRR, (2021)Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation., , , , , and . CoRR, (2021)Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation., , , , and . CoRR, (2021)Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review., , , , , , , , , and 5 other author(s). CoRR, (2020)Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation., , , , , and . J. Digit. Imaging, 36 (2): 739-752 (April 2023)Using advanced simulation to aid microlithography development., , , and . Proc. IEEE, 89 (8): 1194-1215 (2001)Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation., , , , , , and . CoRR, (2023)Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans., , , , , , , , , and 6 other author(s). Nat. Mach. Intell., 3 (3): 199-217 (2021)From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation., , and . MIUA, volume 13413 of Lecture Notes in Computer Science, page 547-561. Springer, (2022)