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Snake with Shifted Window: Learning to Adapt Vessel Pattern for OCTA Segmentation

arXiv 2404.18096 ↗First posted 28 Apr 2024eess.IV cs.CVcited by 0

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Abstract (arXiv)

Segmenting specific targets or structures in optical coherence tomography angiography (OCTA) images is fundamental for conducting further pathological studies. The retinal vascular layers are rich and intricate, and such vascular with complex shapes can be captured by the widely-studied OCTA images. In this paper, we thus study how to use OCTA images with projection vascular layers to segment retinal structures. To this end, we propose the SSW-OCTA model, which integrates the advantages of deformable convolutions suited for tubular structures and the swin-transformer for global feature extraction, adapting to the characteristics of OCTA modality images. Our model underwent testing and comparison on the OCTA-500 dataset, achieving state-of-the-art performance. The code is available at: https://github.com/ShellRedia/Snake-SWin-OCTA.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 29 references that are in the map. First posted on arXiv 28 Apr 2024.

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References · 11

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  3. 2022Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Imagescited by 830
  4. 2018Albumentations: fast and flexible image augmentationscited by 560
  5. 2022MONAI: An open-source framework for deep learning in healthcarecited by 448
  6. 20183D MRI brain tumor segmentation using autoencoder regularizationcited by 328
  7. 2020clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure Segmentationcited by 294
  8. 2023Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentationcited by 84
  9. 2021DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentationcited by 48
  10. 2023SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation Taskscited by 14
  11. 2021PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentationcited by 4

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