{"title":"光学相干断层扫描图像中视网膜层自动分割的研究","authors":"L. Ngo, Geown Yih, Seungbae Ji, Jae‐Ho Han","doi":"10.1109/IWW-BCI.2016.7457465","DOIUrl":null,"url":null,"abstract":"The great achievements in both advanced optical coherence tomography (OCT) technique and computational methods contribute an undeniable tools in clinical diagnosis, especially in ophthalmological diseases diagnosis. Motived to catch up the state of art, the contemporary OCT image segmentation methods widely applied are reviewed and systematically summarized.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A study on automated segmentation of retinal layers in optical coherence tomography images\",\"authors\":\"L. Ngo, Geown Yih, Seungbae Ji, Jae‐Ho Han\",\"doi\":\"10.1109/IWW-BCI.2016.7457465\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The great achievements in both advanced optical coherence tomography (OCT) technique and computational methods contribute an undeniable tools in clinical diagnosis, especially in ophthalmological diseases diagnosis. Motived to catch up the state of art, the contemporary OCT image segmentation methods widely applied are reviewed and systematically summarized.\",\"PeriodicalId\":208670,\"journal\":{\"name\":\"2016 4th International Winter Conference on Brain-Computer Interface (BCI)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 4th International Winter Conference on Brain-Computer Interface (BCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWW-BCI.2016.7457465\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWW-BCI.2016.7457465","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on automated segmentation of retinal layers in optical coherence tomography images
The great achievements in both advanced optical coherence tomography (OCT) technique and computational methods contribute an undeniable tools in clinical diagnosis, especially in ophthalmological diseases diagnosis. Motived to catch up the state of art, the contemporary OCT image segmentation methods widely applied are reviewed and systematically summarized.