Transfer learning enables the transfer of knowledge gained while learning to perform one task (source) to a related but different task (target), hence addressing the expense of data acquisition and ...

Chromosome image classification typically relies on ImageNet pre-training, yet the potential of leveraging intermediate domains from related staining techniques remains largely underexplored. Here, we ...