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宫癌检测技术:一个时间序列的回顾

Wan Azani Mustafa^1,2, Shahrina Ismail³, Fahirah Syaliza Mokhtar⁴

¹Faculty of Electrical Engineering Technology, Campus Pauh Putra, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia.

Diagnostics (Basel, Switzerland)

|May 27, 2023

概括

宫癌检测的进步已经从巴氏涂片演变为计算机辅助检测 (CAD) 系统. 基于机器学习的CAD显示了提高诊断子宫癌的准确性和灵敏性的前景.

科学领域:

妇科瘤学妇科瘤学
医疗成像医学成像
医疗保健中的人工智能

背景情况:

宫癌仍然是一个重大的全球健康挑战,死亡率和发病率很高.
对于宫癌查的传统帕普检测有局限性,包括主观性和错过诊断的可能性.
越来越需要增强的宫癌检测方法,以提高准确性和患者的治疗结果.

研究的目的:

为了提供宫癌检测技术的时间表审查.
评估计算机辅助检测 (CAD) 系统在宫癌查中的演变和有效性.
突出基于机器学习 (ML) 的CAD系统在改善诊断方面的潜力.

主要方法:

使用Scopus数据库 (1996-2022) 进行了系统的文献审查.
搜索术语包括" ((子宫或子宫) 和 (癌症或瘤) 和 (检测*或诊断)".
包括报告关于宫癌检测技术的开发或评估的研究,包括传统和CAD方法.

主要成果:

早期使用图像处理的CAD系统由于灵敏度和特异性低,成功程度有限.
2000年代初引入的机器学习 (ML) 算法显著改善了宫细胞图像的自动化分析.
基于ML的CAD系统在几个研究中显示,与传统方法相比,其灵敏度和特异性有所提高.

结论:

在过去的几十年里,宫癌检测技术取得了重大进展.
基于ML的CAD系统,如HISCCD和ACSS,显示出提高宫癌检测准确度和灵敏度的希望.
进一步验证和研究是必要的,以获得广泛的接受,并减少宫癌的全球负担.

关键词:

在这里,我们可以看到CAD,CAD,CAD.宫的子宫可以审查审查审查审查审查审查瘤是一个瘤.

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