In healthcare and research environments, there's often a need to automatically separate medical images (X-rays, MRIs, CT scans, ultrasounds) from non-medical content (landscapes, objects, people) ...

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...

Abstract: Image recognition is typically a multi-feature decision problem. After performing certain preprocessing on images, various feature information is extracted to identify objects and scenes ...

Organizations that track the material are reporting a surge in A.I. images and videos, which are threatening to overwhelm law enforcement. By Cecilia Kang Cecilia Kang has covered child online safety ...

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...

Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, United States ...

Introduction: Accurate environmental image classification is essential for ecological monitoring, climate analysis, disaster detection, and sustainable resource management. However, traditional ...

Traditional Thai medicine (TTM) is a popular and increasingly accepted treatment option. In TTM, tongue diagnosis is a highly efficient method for assessing overall health, yet its accuracy can vary ...