@inproceedings{c54fa14542074a53b527b1de01bc7cc6,
title = "Geometric-Equivariant Blind-Spot Network for Self-Supervised Intra-operative OCT Denoising",
abstract = "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.",
keywords = "Blind-Spot Network, Geometric Equivariance, OCT Denoising, Self-Supervised Learning",
author = "Xiangyang Yu and Yinan Wen and Haojin Li and Sanqian Li and Heng Li and Jiang Liu",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2027.; 22nd International Conference on Intelligent Computing, ICIC 2026 ; Conference date: 22-07-2026 Through 26-07-2026",
year = "2027",
doi = "10.1007/978-981-92-3504-9\_19",
language = "English",
isbn = "9789819235032",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "230--240",
editor = "De-Shuang Huang and Qinhu Zhang and Yijie Pan and Chuanlei Zhang and Wei Chen and Bo Li and Wenzheng Bao and Prashan Premaratne",
booktitle = "Advanced Intelligent Computing Technology and Applications - 22nd International Conference on Intelligent Computing, ICIC 2026, Proceedings",
address = "Germany",
}