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 ...

Quantum computing has emerged as a transformative paradigm, with algorithms like Shor’s 1 and Grover’s 2 demonstrating profound theoretical advantages over classical counterparts 3. However, a ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.