{"title":"各种分割技术在视网膜眼底图像渗出物早期检测中的比较综述","authors":"A. Kaur, Prabhpreet Kaur","doi":"10.1109/ICPEICES.2016.7853259","DOIUrl":null,"url":null,"abstract":"Diabetic retinopathy is a health problem that most widespread cause of vision damage in developed countries. Early recognition of Diabetic retinopathy is very important for saving vision pairment and for effective treatment. Exudates are the symptoms of DR. Many approaches in literature are discussed on segmenting the exudates. This paper has shown different techniques of exudates segmentation with its benefits and limitations. All discussed techniques have improved the performance in terms of accuracy, specificity, PPV, Error Rate and sensitivity. The comparison has shown that ant colony optimization based segmentation has better results over each techniques.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A comparative review of various segmentation techniques for early detection of exudates in retinal fundus images\",\"authors\":\"A. Kaur, Prabhpreet Kaur\",\"doi\":\"10.1109/ICPEICES.2016.7853259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Diabetic retinopathy is a health problem that most widespread cause of vision damage in developed countries. Early recognition of Diabetic retinopathy is very important for saving vision pairment and for effective treatment. Exudates are the symptoms of DR. Many approaches in literature are discussed on segmenting the exudates. This paper has shown different techniques of exudates segmentation with its benefits and limitations. All discussed techniques have improved the performance in terms of accuracy, specificity, PPV, Error Rate and sensitivity. The comparison has shown that ant colony optimization based segmentation has better results over each techniques.\",\"PeriodicalId\":305942,\"journal\":{\"name\":\"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEICES.2016.7853259\",\"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 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEICES.2016.7853259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative review of various segmentation techniques for early detection of exudates in retinal fundus images
Diabetic retinopathy is a health problem that most widespread cause of vision damage in developed countries. Early recognition of Diabetic retinopathy is very important for saving vision pairment and for effective treatment. Exudates are the symptoms of DR. Many approaches in literature are discussed on segmenting the exudates. This paper has shown different techniques of exudates segmentation with its benefits and limitations. All discussed techniques have improved the performance in terms of accuracy, specificity, PPV, Error Rate and sensitivity. The comparison has shown that ant colony optimization based segmentation has better results over each techniques.