fig5

AME-Net++: adaptive mixture-of-experts for intelligent intraoperative 3D reconstruction

Figure 5. Evolution of 3D reconstruction quality during scene-specific optimization of AME-Net++. (A) Mean PSNR and (B) mean SSIM across the seven public CT scenes using 50 projection views per scene; (C) Mean PSNR and (D) mean SSIM across the 30 cases in the self-built animal interventional vascular dataset using 10 intraoperative angiographic views per case. Metrics were evaluated on reconstructed 3D volumes at checkpoints spaced every 100 epochs. The same axis ranges are used for corresponding metrics across the two datasets. PSNR: Peak signal-to-noise ratio; SSIM: structural similarity index measure; CT: computed tomography.