T2 (JCR Q1) 7 35 IEEE Journal of Biomedical and Health Informatics; Artificial Intelligence in Medicine; et al. T3 9 45 International Journal of Computer Assisted Radiology and Surgery; Biomedical ...
Abstract: The rapid growth of computer vision and deep learning has revolutionized the field of image analysis, enabling machines to understand, interpret, and generate visual data with remarkable ...
Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...
Lumen – Asistente IA Empático y Multimodal (rostro y voz) en tiempo real. Potenciado por Llama 3.1 (Groq), Deepgram y Edge-TTS. A high-performance attendance system using Next.js with and ML-server ...
Abstract: Accurate 3D medical image segmentation is crucial for diagnosis and treatment. Diffusion models demonstrate promising performance in medical image segmentation tasks due to the progressive ...
In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...
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 in evaluating ...
OpenAI released its newest AI model that it said can understand uploaded images like whiteboards, sketches and diagrams, even if they're low quality. The company called o3 its most advanced model yet ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results