Yussef Hanna, Marlene Kallass, Á. Barroso, J. Schnekenburger, K. Brinker, B. Kemper
{"title":"Classification of urine components using supervised machine learning based on physical particle data retrieved by digital holographic microscopy","authors":"Yussef Hanna, Marlene Kallass, Á. Barroso, J. Schnekenburger, K. Brinker, B. Kemper","doi":"10.1364/dh.2022.th2a.5","DOIUrl":null,"url":null,"abstract":"We explored the capabilities of supervised machine learning to classify urine sediment based on physical parameters retrieved from quantitative digital holographic phase contrast images.","PeriodicalId":227456,"journal":{"name":"Digital Holography and 3-D Imaging 2022","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Holography and 3-D Imaging 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/dh.2022.th2a.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We explored the capabilities of supervised machine learning to classify urine sediment based on physical parameters retrieved from quantitative digital holographic phase contrast images.