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Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications
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CoD-MIL: Chain-of-Diagnosis Prompting Multiple Instance Learning for Whole Slide Image Classification
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FR-MIL: Distribution Re-Calibration-Based Multiple Instance Learning With Transformer for Whole Slide Image Classification
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E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification
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Characterisation of activated sludge by automated image analysis
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Filamentous bacteria in activated sludge: Geographic distribution and impact of treatment processes
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