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使用模拟光学扫描全息和活性轮方法进行白血病细胞的先进自动分类和细分

Abdennacer El-Ouarzadi¹, Abdelaziz Essadike², Younes Achaoui¹

¹Moulay Ismail University, Physical Sciences and Engineering, Faculty of Sciences, Meknès, Morocco.

Journal of biomedical optics

|September 29, 2025

概括

这项研究引入了一种使用光学扫描全息 (OSH) 和主动轮 (AC) 模型的白血病诊断新方法. 这种方法自动化了细胞分类,提高了准确性和速度,以更好地治疗患者.

科学领域:

血液学血液学血液学
生物医学光学生物医学光学
医疗成像医学成像

背景情况:

白血病诊断面临的挑战是由于细胞异质性和分析的可变性.
准确和快速的细胞分类对于有效的白血病管理和减少错误至关重要.

研究的目的:

开发一种用于分类和细分白血病细胞的自动化系统.
为了提高白血病检测的诊断准确性和效率.

主要方法:

使用光学扫描全息 (OSH) 进行非侵入性白细胞相位电流捕获.
采用活跃轮 (AC) 模型来改善细胞细分.
分析相位电流的最大幅度值,用于自动分类.

主要成果:

综合性OSH和AC方法证明了强大的细分和高效的白血病细胞分类.
与现有方法相比,观察到可靠性,速度和可重复性的显著改善.

结论:

这种新的方法为准确的白血病诊断提供了可靠,快速和系统的解决方案.
该方法通过精确的诊断促进了优化治疗管理.

关键词:

准确的诊断和准确的诊断.活动轮活动轮.自动分类的自动分类.自动细分自动细分自动细分这种白血病是白血病.最大的幅度值最大的幅度值.光学扫描全息扫描全息图.目前的相位电流是相位的.

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