As generative AI becomes increasingly ubiquitous and advanced, institutions at various levels are reevaluating their policies on how to work with this tool, or questioning if they should at all. Since ...
Abstract: Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. Existing methods face ...
Understanding what happens inside a material when it is hit by ultrashort light pulses is one of the great challenges of ...
Abstract: Currently, convolutional neural network (CNN) and transformer-based hyperspectral image (HSI) classification methods have attracted significant attention owing to their effective feature ...
The precise imaging of many-body systems, which are comprised of many interacting particles, can help to validate theoretical ...
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