This section introduces the research background and significance of digital pathology, the research objectives, and the critical role of multi-threshold optimization in pathological image segmentation ...

Large-scale sparse multi-objective optimization problems are prevalent in numerous real-world scenarios, such as neural network training, sparse regression, pattern mining and critical node detection, ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...