Sholomon L. Pinoliad, Duanne Austin N. Dichoso, Arlene Caballero, Erlito M. Albina
{"title":"onyxRay:使用定制视觉机器学习的基于移动的指甲疾病检测","authors":"Sholomon L. Pinoliad, Duanne Austin N. Dichoso, Arlene Caballero, Erlito M. Albina","doi":"10.1145/3411681.3411698","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":279225,"journal":{"name":"Proceedings of the 5th International Conference on Information and Education Innovations","volume":"287 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"onyxRay: A Mobile-Based Nail Diseases Detection Using Custom Vision Machine Learning\",\"authors\":\"Sholomon L. Pinoliad, Duanne Austin N. Dichoso, Arlene Caballero, Erlito M. Albina\",\"doi\":\"10.1145/3411681.3411698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":279225,\"journal\":{\"name\":\"Proceedings of the 5th International Conference on Information and Education Innovations\",\"volume\":\"287 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th International Conference on Information and Education Innovations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3411681.3411698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Conference on Information and Education Innovations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3411681.3411698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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