When people focus on mental images, their brains use a distinct route from visual attention, showing separate systems for ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical ...

Learn how recent cybersecurity conferences focused on resilience and shoring up critical infrastructure systems spotlight the ...

Abstract: Accurate medical image segmentation is critical to effective treatment strategies. Existing transformer-based methods for image segmentation mostly split the input image into a fixed and ...

1 School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China 2 Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China ...

Abstract: In recent times, leveraging lesion text as supplementary data to enhance the performance of medical image segmentation models has garnered attention. Previous approaches only used attention ...

For years, microsegmentation has carried a reputation for being too complex, too manual, or too advanced for most organizations. In fairness, legacy microsegmentation solutions earned that estimation ...