Berkay Mayalıve, Orkun Şaylığ, Ö. Y. Özuysal, D. P. Okvur, B. U. Töreyin, D. Ünay
{"title":"Automated Analysis of Wound Healing Microscopy Image Series - A Preliminary Study","authors":"Berkay Mayalıve, Orkun Şaylığ, Ö. Y. Özuysal, D. P. Okvur, B. U. Töreyin, D. Ünay","doi":"10.1109/TIPTEKNO50054.2020.9299213","DOIUrl":null,"url":null,"abstract":"Collective cell analysis from microscopy image series is important for wound healing research. Computer-based automation of such analyses may help in rapid acquisition of reliable and reproducible results. In this study phase-contrast optical microscopy image series of an in-vitro wound healing essay is manually delineated by two experts and its analysis is realized, traditional image processing and deep learning based approaches for automated segmentation of wound area are developed and their performance comparisons are carried out.","PeriodicalId":426945,"journal":{"name":"2020 Medical Technologies Congress (TIPTEKNO)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Medical Technologies Congress (TIPTEKNO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIPTEKNO50054.2020.9299213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Collective cell analysis from microscopy image series is important for wound healing research. Computer-based automation of such analyses may help in rapid acquisition of reliable and reproducible results. In this study phase-contrast optical microscopy image series of an in-vitro wound healing essay is manually delineated by two experts and its analysis is realized, traditional image processing and deep learning based approaches for automated segmentation of wound area are developed and their performance comparisons are carried out.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
