A feature profile on a network and cybersecurity engineer whose work connects secure architecture, operational continuit ...

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

Classification (TF-Cls) 'Clear', 'Closed', 'Broken', 'Blur' 6,247 3632 × 2760 4,687:561:999(75%:9%:16%) Object Detection (TF-Det) Inside, Middle, Outside Rings 4,736 ...

The shift is simple but significant. Chatbots gave us answers. Copilot Tasks aims to give us completed items from the to-do list. Microsoft is letting a small group try it today, with plans to bring ...

Artificial intelligence systems demonstrate strong diagnostic and planning performance in neuro-oncologic radiotherapy, though approximately one-quarter of AI-generated plans require manual clinician ...

Cervical cancer has become one of the most malignant tumors that threatens women's health worldwide. Liquid-based cytology (LBC) examination has become the most common screening method for detecting ...

According to Fei-Fei Li on Twitter, a groundbreaking large-scale demonstration dataset has been released, featuring 50 distinct tasks and 10,000 demonstrations totaling approximately 1,200 hours of ...

With today's advanced microscopes, scientists can capture videos of entire embryos developing in real time. But there's a catch: turning those breathtaking images into clean, accurate trajectories of ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

Abstract: Multimodal remote sensing image segmentation (MRSIS) is important for intelligent remote sensing (RS) image interpretation, which encompasses three distinct tasks: semantic segmentation, ...

Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...