Public articles linked to the same research event.
arXiv The work proposes FermatSyn, which injects anatomical priors via LoRA+ fine-tuning of a frozen SAM2 vision encoder, preserves high-frequency lesion detail with HRDM and CIN, and builds an approximately isotropic receptive field through continuity-constrained Fermat spiral scanning inside a bidirectional Mamba; on SynthRAD2023 and merged BraTS (including BraTS-MEN and BraTS-MET) it surpasses compared methods on PSNR, SSIM, FID and 3D structural consistency, and segmentation models trained on its synthesized images show no significant difference from real-image training (p>0.05).
The work proposes FermatSyn, which injects anatomical priors via LoRA+ fine-tuning of a frozen SAM2 vision encoder, preserves high-frequency lesion detail with HRDM and CIN, and builds an approximately isotropic receptive field through continuity-constrained Fermat spiral scanning inside a bidirectional Mamba; on SynthRAD2023 and merged BraTS (including BraTS-MEN and BraTS-MET) it surpasses compared methods on PSNR, SSIM, FID and 3D structural consistency, and segmentation models trained on its synthesized images show no significant difference from real-image training (p>0.05).
The work proposes FermatSyn, which injects anatomical priors via LoRA+ fine-tuning of a frozen SAM2 vision encoder, preserves high-frequency lesion detail with HRDM and CIN, and builds an approximately isotropic receptive field through continuity-constrained Fermat spiral scanning inside a bidirectional Mamba; on SynthRAD2023 and merged BraTS (including BraTS-MEN and BraTS-MET) it surpasses compared methods on PSNR, SSIM, FID and 3D structural consistency, and segmentation models trained on its synthesized images show no significant difference from real-image training (p>0.05).
The work proposes FermatSyn, which injects anatomical priors via LoRA+ fine-tuning of a frozen SAM2 vision encoder, preserves high-frequency lesion detail with HRDM and CIN, and builds an approximately isotropic receptive field through continuity-constrained Fermat spiral scanning inside a bidirectional Mamba; on SynthRAD2023 and merged BraTS (including BraTS-MEN and BraTS-MET) it surpasses compared methods on PSNR, SSIM, FID and 3D structural consistency, and segmentation models trained on its synthesized images show no significant difference from real-image training (p>0.05).