Title :
Case-based reasoning (CBR) in endoscopic images diagnosis aid
Author :
Le Guillou, C. ; Cauvin, J.-M. ; Solaiman, B. ; Robaszkiewicz, M. ; Roux, C.
Author_Institution :
Lab. LATIM, ENSTB, Brest, France
Abstract :
The computerized and sophisticated version of medical atlases aims at constituting iconographic bases and at developing “intelligent” tools, thus allowing image retrieval according to several modalities. Such atlases are consequently used as assistance tools for physicians, at the same time for medical diagnosis, formation and research. Therefore, the study described is directed at upper digestive endoscopy and its imagery with the aim of conceiving a computer-assisted diagnosis system. It will be articulated around a base of images on which will be supported case-based reasoning), adapted to elucidate a case-in fact, to find the similar ones to it. Moreover, a knowledge base describing endoscopic pathologies is destined to take place of a control unit of coherence for similarities search
Keywords :
case-based reasoning; deductive databases; image retrieval; medical expert systems; medical image processing; visual databases; case-based reasoning; computer-assisted diagnosis system; endoscopic database; endoscopic image diagnosis aid; endoscopic pathologies; iconographic bases; intelligent tools; knowledge base; medical atlases; similarities search; upper digestive endoscopy; Computer aided diagnosis; Data mining; Endoscopes; Esophagus; Feeds; Humans; Layout; Pathology; Physics computing; Stomach;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804402
