onyxRay:使用定制视觉机器学习的基于移动的指甲疾病检测

Proceedings of the 5th International Conference on Information and Education Innovations Pub Date : 2020-07-26 DOI:10.1145/3411681.3411698

Sholomon L. Pinoliad, Duanne Austin N. Dichoso, Arlene Caballero, Erlito M. Albina

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引用次数: 1

摘要

指甲是发现一个人潜在的系统性疾病的好方法。有不同的指甲异常与全身性疾病有关。该研究的目的是利用移动相机，将允许用户捕捉指甲。通过这种方式，应用程序将根据用户上传的指甲图像，建议发现的几种全身性疾病。本研究中应用的方法包括使用自定义视觉API处理图像来分析某些指甲异常。这项研究的结论是，全身性疾病可以通过指甲异常来识别，因此支持者开发了一种应用程序，可以分析指甲图像并提供全身性疾病建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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onyxRay: A Mobile-Based Nail Diseases Detection Using Custom Vision Machine Learning

Nails serves as a great way to discover several underlying systemic diseases of a person. There are different nail abnormalities that are associated with systemic diseases. The objective of the study is to utilize mobile camera that will allow users to capture of nail. Through this, the application will suggest several systemic diseases found based on the uploaded nail image by the user. The methods applied in this study includes the use of Custom Vision API that process images to analyze certain nail abnormalities. This study concludes that systemic diseases can be identify through nail abnormalities, so that the proponents developed an application that will analyze a fingernail image and will provide systemic diseases suggestions.

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Proceedings of the 5th International Conference on Information and Education Innovations

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