{"title":"光谱和图像数据的机器学习方法","authors":"T. Bocklitz","doi":"10.1364/omp.2019.ot3d.1","DOIUrl":null,"url":null,"abstract":"To utilize optical techniques for bio-medical applications, e.g. disease diagnostics, the data needs to be analyzed using machine learning. This translation requires automatic data pipelines presented in this contribution for selected application.","PeriodicalId":8973,"journal":{"name":"Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Learning Methods for Spectral and Image Data\",\"authors\":\"T. Bocklitz\",\"doi\":\"10.1364/omp.2019.ot3d.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To utilize optical techniques for bio-medical applications, e.g. disease diagnostics, the data needs to be analyzed using machine learning. This translation requires automatic data pipelines presented in this contribution for selected application.\",\"PeriodicalId\":8973,\"journal\":{\"name\":\"Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/omp.2019.ot3d.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/omp.2019.ot3d.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine Learning Methods for Spectral and Image Data
To utilize optical techniques for bio-medical applications, e.g. disease diagnostics, the data needs to be analyzed using machine learning. This translation requires automatic data pipelines presented in this contribution for selected application.