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首页> 外文会议>International Workshop on Computer Vision for Biomedical Image Applications(CVBIA 2005); 20051021; Beijing(CN) >Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions
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Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions

机译：视网膜图像分析的计算机视觉算法：当前结果和未来方向

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摘要

Automated image analysis tools have the potential to play an important role in assisting in the diagnosis and treatment of retinal diseases. Problems that must be addressed in developing these tools include extraction of vascular and non-vascular features, segmentation of pathologies, unimodal and multimodal image registration, mosaic construction, and real-time systems. Research at Rensselaer Polytechnic Institute since the late 1990's has focused on several of these problems. Most significantly, we have developed a series of registration and mosaic formation algorithms which have been validated on thousands of retinal images and have been extended beyond the retina application. While the core fundus image registration problem is essentially solved, important problems remain in many aspects of retinal image analysis.
机译：自动化的图像分析工具可能在协助视网膜疾病的诊断和治疗中发挥重要作用。开发这些工具时必须解决的问题包括血管和非血管特征的提取，病理学分割，单峰和多峰图像配准，镶嵌构造和实时系统。自1990年代后期以来，伦斯勒理工学院的研究集中在其中一些问题上。最重要的是，我们开发了一系列配准和​​镶嵌形成算法，这些算法已在数千个视网膜图像上得到验证，并已扩展到视网膜应用之外。尽管基本解决了核心眼底图像配准问题，但在视网膜图像分析的许多方面仍存在重要问题。

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