{"title":"Semantic interrogation for a radiological documentary record","authors":"A. Tchounikine, Y. Amghar, A. Flory","doi":"10.1109/CBMS.1997.596416","DOIUrl":null,"url":null,"abstract":"This article originates from the need to introduce semantic aspects in the retrieval procedures in medical information systems. Our working database records documents which gathers various type of information: medical images (X-rays, MRI, tomography, etc.), data on the patient's civil and clinical identity, and examination reports. A retrieval process should answer queries involving both explicit alphanumeric data from the document and information that is carried by the images. We propose a data model that allows content-based retrieval for the images. The image is viewed as pairs of iso-semantic regions and signals in respect of an anatomical and a pathological model. A graphical interface is also provided for the users to index the images and formulate their queries.","PeriodicalId":292377,"journal":{"name":"Proceedings of Computer Based Medical Systems","volume":"216 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Computer Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.1997.596416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This article originates from the need to introduce semantic aspects in the retrieval procedures in medical information systems. Our working database records documents which gathers various type of information: medical images (X-rays, MRI, tomography, etc.), data on the patient's civil and clinical identity, and examination reports. A retrieval process should answer queries involving both explicit alphanumeric data from the document and information that is carried by the images. We propose a data model that allows content-based retrieval for the images. The image is viewed as pairs of iso-semantic regions and signals in respect of an anatomical and a pathological model. A graphical interface is also provided for the users to index the images and formulate their queries.