高血压视网膜病变的计算机辅助诊断系统:一篇综述
Supriya Suman1, Anil Kumar Tiwari2, Kuldeep Singh3
1Interdisciplinary Research Platform (IDRP): Smart Healthcare, Indian Institute of Technology, N.H. 62, Nagaur Road, Karwar, Jodhpur, Rajasthan 342030, India.
Computer methods and programs in biomedicine
|June 15, 2023
概括
本综述涵盖了使用视网膜图像诊断高血压视网膜病变 (HR) 的自动化方法. 它分析了动脉静脉分类,比率计算和HR检测/分级的技术,强调了挑战和未来的研究方向.
科学领域:
- 眼科和医学成像学
- 生物医学工程 生物医学工程
- 心血管健康 心血管健康
背景情况:
- 高血压视网膜病变 (HR) 是一种严重的眼睛疾病,与长时间的高血压有关.
- 早期检测至关重要,因为HR表明更广泛的健康风险,如中风和脏疾病.
- 视网膜检查可以在出现主要临床症状之前揭示微循环变化.
研究的目的:
- 综合审查高血压视网膜病变 (HR) 检测和分级的自动化方法.
- 分析计算机辅助诊断 (CAD) 技术用于动脉-静脉 (A / V) 分类和动脉静脉比率 (AVR) 计算.
- 确定挑战,并提出在自动化人力资源诊断领域的未来研究方向.
主要方法:
- 按照系统审查和元分析首选报告项目 (PRISMA) 协议进行的系统文献审查.
- 分析自动化任务:A/V分类,AVR计算,HR检测 (二进制分类) 和HR严重程度分级.
- 评估在审查研究中使用的数据集,方法,性能指标和计算平台.
主要成果:
- 对自动化人力资源诊断任务的现有方法的摘要和批判性分析.
- 在审查的研究中对分类器细节,方法和性能进行比较.
- 确定共同的研究问题,包括数据的可用性和分级准确性.
结论:
- 自动化CAD系统提供高效和准确的高血压视网膜病变 (HR) 的早期检测.
- 在数据可用性和精确的HR严重程度分级方面,仍然存在重大挑战.
- 未来的研究应该专注于解决这些挑战,以提高临床适用性.
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