Entropy of a Bayesian network trained on sparse point labels is proportional to nucleus probability, enabling weakly supervised nuclei detection that reaches 0.724 mAP50 versus 0.834 for fully supervised training.
Weakly supervised multi- task learning for cell detection and segmentation
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Entropy Bootstrapping for Weakly Supervised Nuclei Detection
Entropy of a Bayesian network trained on sparse point labels is proportional to nucleus probability, enabling weakly supervised nuclei detection that reaches 0.724 mAP50 versus 0.834 for fully supervised training.