AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Zero Trust has become one of the defining cybersecurity strategies of the modern enterprise for good reason. Organizations have invested heavily in microsegmentation, ZTNA, and cloud-native ...

Abstract: Despite the remarkable progress in semantic segmentation tasks with the advancement of deep neural networks, existing U-shaped hierarchical typical segmentation networks still suffer from ...

Hello, I am currently working on a thorough benchmark for Rust FM-Indices. I am including the library AWRY, which uses sufr to construct the suffix array. I got a segmentation fault when running the ...

Abstract: In recent years, several deep learning techniques have been applied to the problem of seismic facies segmentation. However, there is a lack of an authoritative protocol for evaluating such ...

According to experts in neurology, brain tumours pose a serious risk to human health. The clinical identification and treatment of brain tumours rely heavily on accurate segmentation. The varied sizes ...