年龄相关性黄斑变性的自动变形与健康相关性研究

2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2017-10-01 DOI:10.1109/BIBE.2017.000-7

A. D. Chakravarthy, M. Subramaniam, P. Chundi, Muhammad Hassan, Q. D. Nguyen

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引用次数: 1

摘要

视觉畸变在诸如老年性黄斑变性(AMD)等眼病的早期诊断和及时治疗中起着至关重要的作用。本文描述了一种框架，用于收集有关视觉扭曲的定量信息，将它们映射到可能起源于视网膜的区域，并将它们与使用临床测试获得的视网膜健康信息相关联。由此产生的复合视网膜图可以使医生以最少的人工工作量诊断和治疗AMD。我们在实践中使用该系统的结果使医生能够以最小的人工开销研究扭曲与视网膜病变的相关性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Towards Automated Distortion and Health Correlation for Age-Related Macular Degeneration

Visual distortions play a crucial role in early diagnosis and timely treatment of several eye diseases such as the age-related macular degeneration (AMD). A framework to collect quantitative information about visual distortions, map them to the regions of retina where they may originate, and correlate them to retinal health information obtained using clinical tests, is described in this paper. The resulting composite retinal map can enable physicians to diagnose and treat AMD with minimal manual effort. Our results using the system in practice enabled physicians to study the correlation of distortions to retina lesions with minimal manual overheads.

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2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE)

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