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Geometric-Equivariant Blind-Spot Network for Self-Supervised Intra-operative OCT Denoising

  • Xiangyang Yu
  • , Yinan Wen
  • , Haojin Li
  • , Sanqian Li*
  • , Heng Li*
  • , Jiang Liu*
  • *此作品的通讯作者
  • Southern University of Science and Technology
  • Jiangxi University of Finance and Economics
  • Shenzhen University of Advanced Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Intra-operative Optical Coherence Tomography (iOCT) is essential for ophthalmic surgery but is heavily degraded by speckle noise, while real-time acquisition prevents multi-frame averaging. Existing self-supervised Blind-Spot Networks (BSNs) suppress noise but often over-smooth direction-sensitive anatomical boundaries. We propose GE-BSN, a Geometric-Equivariant Blind-Spot Network for edge-sensitive iOCT denoising. GE-BSN embeds geometric equivariance into the asymmetric blind-spot mechanism through Geometric Prior-Guided Conv (GPG-Conv), enabling orientation-aware structural regularization. We further introduce Adaptive Anatomy-Preserving Fusion (AAP-Fusion) to balance strong background smoothing with high-fidelity boundary preservation. Experiments on real-world iOCT datasets show competitive denoising and improved structural fidelity for downstream retinal layer segmentation.

源语言英语
主期刊名Advanced Intelligent Computing Technology and Applications - 22nd International Conference on Intelligent Computing, ICIC 2026, Proceedings
编辑De-Shuang Huang, Qinhu Zhang, Yijie Pan, Chuanlei Zhang, Wei Chen, Bo Li, Wenzheng Bao, Prashan Premaratne
出版商Springer Science and Business Media Deutschland GmbH
230-240
页数11
ISBN(印刷版)9789819235032
DOI
出版状态已出版 - 2027
已对外发布
活动22nd International Conference on Intelligent Computing, ICIC 2026 - Toronto, 加拿大
期限: 22 7月 202626 7月 2026

丛书

姓名Lecture Notes in Computer Science
16659 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议22nd International Conference on Intelligent Computing, ICIC 2026
国家/地区加拿大
Toronto
时期22/07/2626/07/26

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