{"title":"基于强度的视盘检测在糖尿病视网膜病变中的应用","authors":"Trisha, I. Ali","doi":"10.1109/incet49848.2020.9154021","DOIUrl":null,"url":null,"abstract":"In the past few years, there has been an exponential growth of Diabetes which is also known as the silent killer [1] and become a major concern for health in our society [2]. The ophthalmologists are looking for methods through which they can easily and automatically detect whether a person is affected by Diabetes or not, instead of spending extensive time on finding it out manually [3]. If they are able to have an early-stage detection of this disease, they can control its severity to a great extent [5]–[8]. The eye can be a vital organ for the detection of diabetes since it is among the fundamental organs which get affected at the earliest stage [9]–[15]. Therefore, analyzing the retina of the eye can act as a gateway for automatically detecting Diabetic Retinopathy (DR). Therefore, we have tried to provide a technique via which, we can effortlessly and efficiently find out whether a person is affected by diabetes or not so that the patient can start the further treatments without wasting their time by going through long and tedious processes of various manual tests for detection of DR [16]–[20]. In order to detect DR, it is important to pinpoint three important regions of the eye. In this paper, we have tried to localize these three important regions of retina that is the Outer Boundary of Retina, the Optic Disk, and the Macula.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Intensity Based Optic Disk Detection for Automatic Diabetic Retinopathy\",\"authors\":\"Trisha, I. Ali\",\"doi\":\"10.1109/incet49848.2020.9154021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the past few years, there has been an exponential growth of Diabetes which is also known as the silent killer [1] and become a major concern for health in our society [2]. The ophthalmologists are looking for methods through which they can easily and automatically detect whether a person is affected by Diabetes or not, instead of spending extensive time on finding it out manually [3]. If they are able to have an early-stage detection of this disease, they can control its severity to a great extent [5]–[8]. The eye can be a vital organ for the detection of diabetes since it is among the fundamental organs which get affected at the earliest stage [9]–[15]. Therefore, analyzing the retina of the eye can act as a gateway for automatically detecting Diabetic Retinopathy (DR). Therefore, we have tried to provide a technique via which, we can effortlessly and efficiently find out whether a person is affected by diabetes or not so that the patient can start the further treatments without wasting their time by going through long and tedious processes of various manual tests for detection of DR [16]–[20]. In order to detect DR, it is important to pinpoint three important regions of the eye. In this paper, we have tried to localize these three important regions of retina that is the Outer Boundary of Retina, the Optic Disk, and the Macula.\",\"PeriodicalId\":174411,\"journal\":{\"name\":\"2020 International Conference for Emerging Technology (INCET)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference for Emerging Technology (INCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/incet49848.2020.9154021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference for Emerging Technology (INCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/incet49848.2020.9154021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intensity Based Optic Disk Detection for Automatic Diabetic Retinopathy
In the past few years, there has been an exponential growth of Diabetes which is also known as the silent killer [1] and become a major concern for health in our society [2]. The ophthalmologists are looking for methods through which they can easily and automatically detect whether a person is affected by Diabetes or not, instead of spending extensive time on finding it out manually [3]. If they are able to have an early-stage detection of this disease, they can control its severity to a great extent [5]–[8]. The eye can be a vital organ for the detection of diabetes since it is among the fundamental organs which get affected at the earliest stage [9]–[15]. Therefore, analyzing the retina of the eye can act as a gateway for automatically detecting Diabetic Retinopathy (DR). Therefore, we have tried to provide a technique via which, we can effortlessly and efficiently find out whether a person is affected by diabetes or not so that the patient can start the further treatments without wasting their time by going through long and tedious processes of various manual tests for detection of DR [16]–[20]. In order to detect DR, it is important to pinpoint three important regions of the eye. In this paper, we have tried to localize these three important regions of retina that is the Outer Boundary of Retina, the Optic Disk, and the Macula.