Mar 11, 2025 · Designed for integration into medical imaging systems, the RTMDet enables real-time analysis and alerts for early disease detection. Beyond medical applications, its adaptable …

Advanced AI platforms can now process complex medical images in real-time, enabling rapid diagnostics and targeted treatment strategies that improve patient outcomes across various …

With the expansion and development of new and optimized frameworks of object detection, it is possible nowadays to obtain models with high performance, and with the demand of real-time …

We present a focal liver lesion detection model leveraged by custom-designed multi-phase computed tomography (CT) volumes, which reflects real-world clinical lesion detection practice …

Jul 17, 2024 · RPC–DETR achieves a 96% mAP with just 14M parameters, offering high accuracy in brain tumor detection with a lighter model, making it easier to implement in various medical …

May 20, 2025 · Computer-integrated diagnosis and therapy is an emerging field dedicated to improving disease detection and treatment. Linte and members of his research team, including …

We conducted experiments with the RPC-DETR model on the publicly available brain tumor dataset Br35H, minimizing the model's parameter count and reducing its complexity. In our …

AI was used as a tool to assist with diagnosis. 52–54 One study reported 15 different applications being used in clinical practice (8 fully integrated and 7 in exploration or implementation …

Mar 7, 2025 · This paper explores the latest advancements in transfer learning for medical image analysis, particularly in object detection. Object detection model YOLO (You Only Look Once) …

6 days ago · The ability of OCT to provide real-time images at a micrometer resolution makes it widely applicable across medical fields which helps with early detection monitoring and …