Fake spines, real gains: synthetic CT data teach AI to segment severe scoliosis
Researchers in Basel generated synthetic scoliosis-like CT scans by warping healthy spines, boosting AI segmentation accuracy on severely deformed vertebrae ...
Researchers in Basel generated synthetic scoliosis-like CT scans by warping healthy spines, boosting AI segmentation accuracy on severely deformed vertebrae ...
Egyptian researchers have built a hybrid Vision Transformer and CNN framework with spectral band selection that outperforms few-shot learning methods ...
Researchers have developed a few-shot AI framework that combines agentic retrieval-augmented generation with multi-agent data augmentation to detect coded dog-whistle ...
A new benchmark study shows that data augmentation lifts pre-trained deep learning models to up to 98.06% accuracy in classifying ...
A new encoder–decoder transformer with waveform-level data augmentation achieves 100 percent accuracy on German emotional speech and 94 percent on ...
Researchers found that AI models for identifying safe dissection zones in gallbladder surgery rely on tool positions and lighting direction ...
A new deep learning framework called MedFusionNet combines diffusion-based synthetic MRI generation with a fusion of three neural architectures to ...
Researchers have built a hierarchical attention network that detects fake news in English, Hindi, and Marathi, reaching 98.9 percent accuracy ...
A controlled benchmark from El Salvador found that the lightweight hybrid MobileViT-v2-100 model reached 96.45 percent accuracy in classifying sugarcane ...
Researchers compared seven convolutional neural network architectures for detecting diseases and pests in star fruit and found that the classic ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine