{"title":"基于web的医学图像检索系统在Oracle中的实现","authors":"I. Dimitrovski, Pero Guguljanov, S. Loskovska","doi":"10.1109/ICASTECH.2009.5409726","DOIUrl":null,"url":null,"abstract":"The requirement for systems that can stock, represent, and provide efficient retrieval of images is becoming very important in medicine. Content-based Image Retrieval (CBIR) for medical images is a promising approach to address the data management challenges posed by the rapidly increasing volume of medical image data in use. In this paper we present an implemented web-based system for medical image retrieval using the Oracle Multimedia features for image retrieval. The system integrates content-based and text-based retrieval for efficient and more reliable search.","PeriodicalId":163141,"journal":{"name":"2009 2nd International Conference on Adaptive Science & Technology (ICAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Implementation of web-based medical image retrieval system in Oracle\",\"authors\":\"I. Dimitrovski, Pero Guguljanov, S. Loskovska\",\"doi\":\"10.1109/ICASTECH.2009.5409726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The requirement for systems that can stock, represent, and provide efficient retrieval of images is becoming very important in medicine. Content-based Image Retrieval (CBIR) for medical images is a promising approach to address the data management challenges posed by the rapidly increasing volume of medical image data in use. In this paper we present an implemented web-based system for medical image retrieval using the Oracle Multimedia features for image retrieval. The system integrates content-based and text-based retrieval for efficient and more reliable search.\",\"PeriodicalId\":163141,\"journal\":{\"name\":\"2009 2nd International Conference on Adaptive Science & Technology (ICAST)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 2nd International Conference on Adaptive Science & Technology (ICAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASTECH.2009.5409726\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Conference on Adaptive Science & Technology (ICAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASTECH.2009.5409726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of web-based medical image retrieval system in Oracle
The requirement for systems that can stock, represent, and provide efficient retrieval of images is becoming very important in medicine. Content-based Image Retrieval (CBIR) for medical images is a promising approach to address the data management challenges posed by the rapidly increasing volume of medical image data in use. In this paper we present an implemented web-based system for medical image retrieval using the Oracle Multimedia features for image retrieval. The system integrates content-based and text-based retrieval for efficient and more reliable search.