SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images

Documenti analoghi

• Gen-Fab: A Variation-Aware Generative Model for Predicting Fabrication Variations in Nanophotonic Devices
  di: Azimi, Rambod, et al.
  Pubblicazione: (2026)
• CATFA-Net: A Trans-Convolutional Approach for Accurate Medical Image Segmentation
  di: Mallick, Siddhartha, et al.
  Pubblicazione: (2026)
• VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction
  di: Zhu, Xin, et al.
  Pubblicazione: (2025)
• EDU-Net: Retinal Pathological Fluid Segmentation in OCT Images with Multiscale Feature Fusion and Boundary Optimization
  di: Lei, Zijun, et al.
  Pubblicazione: (2026)
• TransLK-Net: Entangling Transformer and Large Kernel for Progressive and Collaborative Feature Encoding and Decoding in Medical Image Segmentation
  di: Yang, Jin, et al.
  Pubblicazione: (2025)