Deepfake Image Tracing Framework Achieves High Accuracy Through Latent Feature Analysis
A new latent feature analysis method attributes manipulated face images to specific deepfake sources with high accuracy.
A new latent feature analysis method attributes manipulated face images to specific deepfake sources with high accuracy.
A pilot study shows that deep learning denoising improves image quality in low-dose breast PET/MRI, reducing radiation exposure to levels ...
A new study quantifies how different radionuclides affect image quality and partial volume effects across the axial field of view ...
A comparative clinical study reveals distinct cognitive, affective, and behavioral body image patterns among female adolescents diagnosed with anorexia nervosa, ...
A newly developed digital image encryption framework combines a high-range modified chaotic map with multi-operator DNA diffusion to provide robust ...
Researchers have developed a color image encryption algorithm combining chaotic sequences with DNA dynamic coding and RNA computing to resist ...
Researchers have developed a visual localization framework combining zero-shot image matching and particle filtering to achieve drift-free, meter-level drone navigation ...
A cross-sectional study of 164 pregnant women in Türkiye found that body image dissatisfaction was negatively associated with happiness, while ...
A decoupled few-shot segmentation model improves edge detail recovery and achieves higher Dice scores across three medical imaging benchmarks.
An experimental study reveals how silver-amalgam nanoparticles enable the preferential nitric acid etching of daguerreotypes into printable matrices.
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© 2026 Scienmag - Science Magazine