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Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology
In this work, we analyze if it is possible to distinguish between different clones of the same bacteria species (Klebsiella pneumoniae) based only on microscopic images.
Kernel Self-Attention in Deep Multiple Instance Learning
There have been several attempts to create a model working with a bag of instances, however, they are assuming that there are no dependencies within the bag and the label is connected to at least one instance.
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