基于极值区域的最大稳定算法,用于自动解释盘扩散抗生素药敏试验。

Q3 Engineering
Padma Ganasala
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引用次数: 0

摘要

抗生素耐药性是传染病患者面临的一大威胁。准确及时地评估抗生素敏感性试验(AST)对确保病人得到适当治疗和流行病学监测至关重要。盘式扩散试验(DDT)是一种标准的、广泛使用的 AST 方法。人工判读 DDT 结果是一项繁琐的工作,而且容易出现人为错误。基于计算机视觉的 DDT 结果自动判读将加快这一过程并减少人力需求。这将有助于医生及时对病人进行抗生素治疗,从而挽救病人的生命。自动解读 DDT 结果的关键步骤是测量和显示抑制区的直径,而无需人工干预。现有方法在一些典型病例的抑制区直径测量过程中,需要在不同阶段进行人工干预。本研究通过基于最大稳定极值区域(MSER)的算法解决了这一问题。数据集由 60 张琼脂平板图像组成,其中包括不同的琼脂培养基、不同分辨率和视觉质量的图像,用于验证所提出的方法。实验结果表明,标准方法与建议方法之间存在很强的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximally stable extremal regions-based algorithm for automatic interpretation of disc-diffusion antibiotic sensitivity test.

Antibiotic resistance causes a major threat to patients suffering from infectious diseases. Accurate and timely assessment of Antibiotic Susceptibility Test (AST) is of great importance to ensure adequate treatment for patients and for epidemiological monitoring. Disc Diffusion Test (DDT) is a standard and widely used method for AST. Manual interpretation of DDT results is a tedious task and susceptible to human errors. Computer vision-based automated interpretation of DDT results will speed up the process and reduces the manpower requirement. This would assist the physician to initiate the antibiotic treatment for the patients on time and results in saving the patient's life. The crucial step in automatic interpretation of DDT result is to measure and present the diameter of zone of inhibition without manual intervention. The existing methods require manual interventions at various stages during inhibition zone diameter measurement for some typical cases. This issue is addressed in the present work through maximally stable extremal regions (MSER) based algorithm. Dataset consisting of 60 agar plate images that includes different agar medium, images having different resolution and visual quality is used to validate the proposed method. Experimental results demonstrated that there is a strong correlation between standard method and the proposed method.

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来源期刊
Journal of Medical Engineering and Technology
Journal of Medical Engineering and Technology Engineering-Biomedical Engineering
CiteScore
4.60
自引率
0.00%
发文量
77
期刊介绍: The Journal of Medical Engineering & Technology is an international, independent, multidisciplinary, bimonthly journal promoting an understanding of the physiological processes underlying disease processes and the appropriate application of technology. Features include authoritative review papers, the reporting of original research, and evaluation reports on new and existing techniques and devices. Each issue of the journal contains a comprehensive information service which provides news relevant to the world of medical technology, details of new products, book reviews, and selected contents of related journals.
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