A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...

Introduction: Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective ...

tumor cases and BI-RADS annotations in categories 2, 3, 4, and 5. In addition, the dataset also contains ground truth delineations that divide the BUS images into ...

1 College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China 2 Institute for Complexity Science, Henan University of Technology, Zhengzhou, China Tongue is ...

You like it or not, AI-generated art is here to stay. A lot of people have jumped on this wagon and have started creating AI art. If you are one of them, you may want to organize your art, and ChatGPT ...

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

Microsoft Deployment Toolkit is designed to streamline the deployment of Windows operating systems, applications, and configurations across multiple devices. If you want to capture Windows Image using ...

The remarkable performance of large multimodal models (LMMs) has attracted significant interest from the image segmentation community. To align with the next-token-prediction paradigm, current ...