Transfer Learning Framework Automates Paediatric Glioma Segmentation And PET Biomarker Analysis
A transfer learning framework adapting adult glioma models to paediatric FLAIR MRI enables fully automated F-DOPA PET segmentation and prognostic ...
A transfer learning framework adapting adult glioma models to paediatric FLAIR MRI enables fully automated F-DOPA PET segmentation and prognostic ...
A boundary-aware U-Net and adaptive Hough transform framework achieves high-accuracy static feature extraction from flotation froth images.
Researchers introduced CSwinUKAN, an enhanced U-Net model integrating Swin Transformers and Kolmogorov–Arnold Networks to improve crack segmentation recall in operating ...
A systematic review of thirty studies reveals that generative adversarial networks and diffusion models lead deep learning efforts to synthesize ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine