SpecstatOR: Speckle statistics-based iOCT Segmentation Network for Ophthalmic Surgery

arXiv:2404.19481v1 Announce Type: cross
Abstract: This paper presents an innovative approach to intraoperative Optical Coherence Tomography (iOCT) image segmentation in ophthalmic surgery, leveraging statistical analysis of speckle patterns to incorporate statistical pathology-specific prior knowledge. Our findings indicate statistically different speckle patterns within the retina and between retinal layers and surgical tools, facilitating the segmentation of previously unseen data without the necessity for manual labeling. The research involves fitting various statistical distributions to iOCT data, enabling the differentiation of different ocular …

abstract analysis arxiv cs.cv eess.iv image knowledge network optical paper pathology patterns prior segmentation statistical statistics surgery tools type