{"title":"基于内容的三维神经放射学图像检索:初步结果","authors":"Yanxi Liu, W. Rothfus, T. Kanade","doi":"10.1109/CAIVD.1998.646037","DOIUrl":null,"url":null,"abstract":"A content-based 3D neuroradiologic image retrieval system is being developed at the Robotics Institute of CMU. The special characteristics of this system include: directly dealing with multimodal 3D images (MR/CT); image similarity based on anatomical structures of the human brain; and combining both visual and collateral information for indexing and retrieval. A testbed has been implemented for using detected salient visual features for indexing and retrieving 3D images.","PeriodicalId":360087,"journal":{"name":"Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database","volume":"15 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":"{\"title\":\"Content-based 3D neuroradiologic image retrieval: preliminary results\",\"authors\":\"Yanxi Liu, W. Rothfus, T. Kanade\",\"doi\":\"10.1109/CAIVD.1998.646037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A content-based 3D neuroradiologic image retrieval system is being developed at the Robotics Institute of CMU. The special characteristics of this system include: directly dealing with multimodal 3D images (MR/CT); image similarity based on anatomical structures of the human brain; and combining both visual and collateral information for indexing and retrieval. A testbed has been implemented for using detected salient visual features for indexing and retrieving 3D images.\",\"PeriodicalId\":360087,\"journal\":{\"name\":\"Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database\",\"volume\":\"15 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"43\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAIVD.1998.646037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIVD.1998.646037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Content-based 3D neuroradiologic image retrieval: preliminary results
A content-based 3D neuroradiologic image retrieval system is being developed at the Robotics Institute of CMU. The special characteristics of this system include: directly dealing with multimodal 3D images (MR/CT); image similarity based on anatomical structures of the human brain; and combining both visual and collateral information for indexing and retrieval. A testbed has been implemented for using detected salient visual features for indexing and retrieving 3D images.
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