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Pathologist-Like Explanations Unveiled: an Explainable Deep Learning System for White Blood Cell Classification
However, the capability of deep learning models to explain their WBC classification remains largely unexplored.
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery
We create a first-ever domain adaptation benchmark using contrastive learning for the object detection task in highly imbalanced satellite datasets with significant domain gaps and dominant small objects.
Balancing at the edge of excitability: Implications for cell movement
Cells rely on the ability to sense and respond to small spatial differences in chemoattractant concentrations for survival.
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