在冠状病毒 (COVID 19) 中的ROI提取CT图像使用直观的模糊边缘检测
Kumar S N1, Kannadhasan S2, Sherin Zafar3
1Department of EEE, Amal Jyothi College of Engineering, Kanjirappally, Kerala, India.
Heliyon
|March 28, 2024
概括
这项研究引入了一个直觉模糊边缘探测器,用于对COVID-19CT扫描进行细分. 这种新的方法有效地处理图像不确定性,以改善医学图像分析和疾病检测.
科学领域:
- 医疗图像处理 医学图像处理
- 人工智能的人工智能
- 计算病理学计算病理学
背景情况:
- 边缘检测对于医学图像分析至关重要,有助于细分和诊断.
- 使用CT扫描检测COVID-19需要精确识别肺部异常.
- 传统的边缘检测方法与医疗图像固有的不确定性作斗争.
研究的目的:
- 提出一个直觉模糊 (IF) 边缘探测器,用于细分COVID-19CT图像.
- 为了利用直觉模糊集的增强的不确定性处理能力.
- 为了提高COVID-19相关图像分析的准确性和稳定性.
主要方法:
- 开发了一种新的直觉模糊边缘检测算法.
- 应用IF边缘探测器来细分COVID-19阳性CT扫描区域.
- 与传统边缘检测技术进行比较分析.
主要成果:
- IF边缘检测器在细分COVID-19CT图像方面表现出卓越的性能.
- 结果显示,与传统方法相比,在处理不确定性和不准确性方面具有熟练程度.
- 经过验证的性能指标证实了对基准医学图像的有效性.
结论:
- 直觉模糊边缘检测为医疗图像细分提供了强大的方法,特别是在COVID-19中.
- 拟议的方法增强了CT扫描中异常的划分.
- 这种技术有望提高传染病的诊断准确性.
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