AI Network Learns to Spot Faint Damage on Ancient Murals
Researchers have developed MuHP-DLNet, a multi-stage deep learning network with a damage-aware dynamic loss that improves the detection and segmentation ...
Researchers have developed MuHP-DLNet, a multi-stage deep learning network with a damage-aware dynamic loss that improves the detection and segmentation ...
Researchers in China have developed a U-Net-based deep learning framework that measures fetal ventricular width from ultrasound with near-expert consistency, ...
Researchers found that AI models for identifying safe dissection zones in gallbladder surgery rely on tool positions and lighting direction ...
Researchers at the University of Potsdam have developed OrthoSAM, an AI workflow that automatically delineates thousands of individual river pebbles ...
University of Bayreuth researchers used a deep learning model and wind tunnel experiments to show that irregular, larger tyre wear ...
A two-stage deep learning framework can automatically segment subpleural lung lesions on grayscale ultrasound and distinguish benign from malignant cases, ...
A scoping review of 118 studies finds that deep learning models excel at detecting parasites in microscopy images under experimental ...
Researchers have unveiled a matrix-blinding framework that lets resource-constrained clients outsource heavy hyper-spectral image analysis to untrusted cloud servers while ...
A new benchmark dataset of nearly 9,000 drone-image patches shows deep learning models dramatically outperform classical image filters in automatically ...
Brazilian researchers used a YOLO-based deep learning model to quantify internal insect injury in sugarcane stalks, showing that continuous injury ...
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© 2025 Scienmag - Science Magazine