Multi-expert AI network sharpens carotid plaque segmentation across ultrasound centers
A SegFormer-B2-based multi-expert ensemble called MUSE-Net achieved a mean Dice of 0.834 for carotid plaque segmentation across a four-center ultrasound ...
A SegFormer-B2-based multi-expert ensemble called MUSE-Net achieved a mean Dice of 0.834 for carotid plaque segmentation across a four-center ultrasound ...
A hybrid VMD-CBiLSTM model optimized by the shuffled frog-leaping algorithm achieved an average R2 of 0.981 when predicting PM2.5 concentrations ...
TCLNet, a lightweight thermal contrast-aware network, improved infrared object detection mAP50 by up to 12.8 percentage points over a YOLO12n ...
A new PRISMA-guided systematic review compiles 72 studies and twelve open datasets to map how deep learning, from U-Net to ...
A new review in Chinese Medical Journal maps deep learning architectures to core clinical tasks in pathology, highlighting accuracy gains, ...
A systematic review of 46 studies finds deep learning promising for post-earthquake structural damage assessment, but weak generalisation evidence and ...
Most intrusion detection research is tested on artificially balanced datasets, where attack and benign records appear in equal numbers. A ...
An unsupervised U-Net deep-learning framework denoises accelerator emittance images well enough to resolve beam halos below one ten-thousandth of the ...
Researchers report a multimodal framework combining Bengali OCR, hybrid visual encoders, and vision-language reasoning that achieved 97% accuracy on a ...
A multicenter study reports that a model combining pretreatment arterial-phase CT features and clinical variables predicted time to progression after ...
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© 2025 Scienmag - Science Magazine