mlsanityData to 14 Oct 2026

An Ultra-Widefield Swept-Source OCTA Dataset and a Polar-Gated Mamba Network for Retinal Vessel Segmentation

arXiv 2609.12574 ↗First posted 11 Sep 2026cs.CVcited by 0

On the map: State-space sequence models (S4, Mamba) → Mamba for medical image analysis

Abstract (arXiv)

Ultra-widefield (UWF) swept-source optical coherence tomography angiography (SS-OCTA) enables large-area retinal vascular imaging, yet vessel segmentation at this scale lacks dedicated public benchmarks and comprehensive evaluation for quantitative vascular analysis. We introduce WOIVES, to our knowledge the first publicly available UWF SS-OCTA vessel-segmentation dataset, comprising 206 eyes from 152 participants with a 24x20mm^2 field of view. WOIVES spans emmetropia to high myopia and provides soft probability vessel annotations. We further propose PG-Mamba, a visual state space model that enhances conventional directional scans with two complementary polar-coordinate scan orders. An auxiliary Dynamic FOV Gating module performs spatial modulation at the bottleneck. PG-Mamba outperformed seven competitive approaches on broad segmentation metrics under cross-validation. It achieved the lowest median absolute errors for vessel density, fractal dimension, and vessel length density. WOIVES is publicly available on Zenodo (DOI: 10.5281/zenodo.21904672), and the PG-Mamba code is available at https://github.com/syb1234567/PG-Mamba.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Mamba for medical image analysis, one of 10 directions in State-space sequence models (S4, Mamba). Builds on 21 of its 37 references that are in the map. First posted on arXiv 11 Sep 2026.

Builds on

21 of 37 references.

Closest ancestors · 6

Same direction, newest first

  1. 2024AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation5 May
  2. 2024LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation12 Mar
  3. 2024Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation7 Feb
  4. 2024VM-UNet: Vision Mamba UNet for Medical Image Segmentation4 Feb
  5. 2024SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation24 Jan
  6. 2024U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation9 Jan

Other references · 15

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2017On Calibration of Modern Neural Networkscited by 4,960
  3. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,718
  4. 2018UNet++: A Nested U-Net Architecture for Medical Image Segmentationcited by 1,525
  5. 2018Attention U-Net: Learning Where to Look for the Pancreascited by 1,435
  6. 2021Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentationcited by 1,222
  7. 2024VMamba: Visual State Space Modelcited by 969
  8. 2020clDice -- A Novel Topology-Preserving Loss Function for Tubular Structure Segmentationcited by 294
  9. 2024LocalMamba: Visual State Space Model with Windowed Selective Scancited by 236
  10. 2019Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentationcited by 163
  11. 2020ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Modelcited by 78
  12. 2020OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Studycited by 52
3 more
  1. 2020SoftSeg: Advantages of soft versus binary training for image segmentationcited by 26
  2. 2021Using Soft Labels to Model Uncertainty in Medical Image Segmentationcited by 18
  3. 2023SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model to OCTA Image Segmentation Taskscited by 14

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Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2024Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model
  2. 2024OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature Segmentation
  3. 2026U-PEN Mamba: Progressive Expansion with Selective State-Space Modeling for Efficient Retinal Vessel Segmentation
  4. 2025Joint-octamamba:an octa joint segmentation network based on feature enhanced mamba
  5. 2025MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel Segmentation
  6. 2025A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement
  7. 2026Polygon-mamba: Retinal vessel segmentation using polygon scanning mamba and space-frequency collaborative attention
  8. 2025MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation