Lightweight AI Models Show Promise for Breast Cancer Detection in Low-Resource Settings
A narrative review of 45 studies finds lightweight AI models such as MobileNet and EfficientNet achieve strong mammography accuracy on ...
A narrative review of 45 studies finds lightweight AI models such as MobileNet and EfficientNet achieve strong mammography accuracy on ...
A new dual-branch AI framework called TBFuseFormer detects tuberculosis on chest X-rays with 99.39 percent held-out test accuracy after removing ...
A bibliometric review of 382 publications maps the rapid growth, geographic concentration and thematic evolution of artificial intelligence research on ...
A geological-feature enhanced Cascade Mask R-CNN suppresses spectral confusion and class imbalance to recognize landslides in high-resolution satellite imagery, cutting ...
A new review details the major updates to the ACR's Lung-RADS system, from Category 0 and expanded juxtapleural criteria to ...
A federated learning framework combining MRI and clinical data classifies Alzheimer's disease with reported accuracy up to 94.1 percent while ...
A newly published study describes a unified YOLOv11–EfficientViT neural network that jointly detects traffic lights and signs and recognizes traffic ...
An enhanced RT-DETR-ResNet18 framework raises detection accuracy for camouflaged soybean pests, reaching 77.4% mAP@0.5 across 12 pest categories.
Researchers trained a reinforcement learning controller entirely on a neural-operator digital twin and deployed it on the MuVacAS vacuum prototype ...
A diffusion-based text-to-speech model trained on eight dysarthric TORGO speakers generated 6,120 synthetic UA-Speech utterances that improved speaker-independent intelligibility classification ...
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© 2025 Scienmag - Science Magazine