Gangadevi C. Bedke, M. Jadhav, Pramodini A. Punde, Monali D. Rathod, Swapnil Dongaonkar
{"title":"GCL And ILM Layer Extraction From OCT Images For Glaucoma Detection","authors":"Gangadevi C. Bedke, M. Jadhav, Pramodini A. Punde, Monali D. Rathod, Swapnil Dongaonkar","doi":"10.1109/iccica52458.2021.9697135","DOIUrl":null,"url":null,"abstract":"Glaucoma is the second leading cause of blindness in worldwide, it can cause due to increase in intra ocular pressure and loss of retinal nerve fiber layers, it can cause total vision loss if it is not treated earlier, so there is need of early detection of glaucoma. For the early detection of glaucoma, we have used Optical Coherence tomography images; we collected 87 normal and 112 glaucomatous images. In this our research study, we analyzed OCT images and we extracted GCL and ILM layers using image processing techniques, after extraction of GCL and ILM layers, we measured thickness of nerve fiber layers.","PeriodicalId":327193,"journal":{"name":"2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)","volume":"88 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccica52458.2021.9697135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Glaucoma is the second leading cause of blindness in worldwide, it can cause due to increase in intra ocular pressure and loss of retinal nerve fiber layers, it can cause total vision loss if it is not treated earlier, so there is need of early detection of glaucoma. For the early detection of glaucoma, we have used Optical Coherence tomography images; we collected 87 normal and 112 glaucomatous images. In this our research study, we analyzed OCT images and we extracted GCL and ILM layers using image processing techniques, after extraction of GCL and ILM layers, we measured thickness of nerve fiber layers.
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