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首页> 外文期刊>Translational Engineering in Health and Medicine, IEEE Journal of >Development of Low-Cost Point-of-Care Technologies for Cervical Cancer Prevention Based on a Single-Board Computer
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Development of Low-Cost Point-of-Care Technologies for Cervical Cancer Prevention Based on a Single-Board Computer

机译：基于单板计算机的宫颈癌预防低成本护理技术的开发

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Cervical cancer disproportionally affects women in low- and middle-income countries, in part due to the difficulty of implementing existing cervical cancer screening and diagnostic technologies in low-resource settings. Single-board computers offer a low-cost alternative to provide computational support for automated point-of-care technologies. Here we demonstrate two new devices for cervical cancer prevention that use a single-board computer: 1) a low-cost imaging system for real-time detection of cervical precancer and 2) a low-cost reader for real-time interpretation of lateral flow-based molecular tests to detect cervical cancer biomarkers. Using a Raspberry Pi computer to provide real-time image collection and processing, we developed: 1) a low-cost, portable high-resolution microendoscope system (PiHRME); and 2) a low-cost automatic lateral flow test reader (PiReader). The PiHRME acquired high-resolution images of the cervix at half the cost of existing high-resolution microendoscope systems; image analysis algorithms based on convolutional neural networks were implemented to provide real-time image interpretation. The PiReader acquired and analyzed images of a point-of-care human papillomavirus (HPV) serology test with the same contrast and accuracy as a standard flatbed high-resolution scanner coupled to a laptop computer, for less than one-fifth of the cost. Raspberry Pi single-board computers provide a low-cost means to implement point-of-care tools with automatic image analysis. This work demonstrates the promise of single-board computers to develop and translate low-cost, point-of-care technologies for use in low-resource settings.
机译：由于难以在低资源环境中实施现有的宫颈癌筛查和诊断技术，宫颈癌不成比例地影响了低收入中等收入国家的女性。单板计算机提供低成本替代方案，为自动化点技术提供计算支持。在这里，我们展示了两个用于宫颈癌预防的新设备，用于使用单板计算机：1）用于实时检测宫颈预校正器的低成本成像系统，2）用于横向流动的实时解释的低成本读卡器基于分子试验以检测宫颈癌生物标志物。使用覆盆子PI电脑提供实时图像收集和处理，我们开发了：1）低成本，便携式高分辨率微内窥镜系统（PIHRME）; 2）低成本的自动横向流量测试读取器（Pireader）。 Pihrme在现有高分辨率微内窥镜系统的成本下获得了宫颈的高分辨率图像;实施了基于卷积神经网络的图像分析算法以提供实时图像解释。 PiReader获得并分析了具有与耦合到膝上型计算机的标准平板高分辨率扫描仪相同的对比度和准确性的护理人员乳头瘤病毒（HPV）血清学测试的图像，其成本不到五分之一。 Raspberry PI单板电脑提供低成本手段，以实现具有自动图像分析的护理点工具。这项工作展示了单板计算机的承诺，以开发和翻译低成本，护理点技术，以用于低资源设置。

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