DocumentCode
2094904
Title
Imagistic Database for Medical e-Learning
Author
Stanescu, Liana ; Burdescu, Dan ; Ion, Anca ; Panus, Andrei
Author_Institution
Univ. of Craiova, Craiova
fYear
2008
fDate
17-19 June 2008
Firstpage
427
Lastpage
429
Abstract
The paper presents the multimedia component included in TESYS, a medical e-learning platform that is used nowadays at the University of Medicine and Pharmacy Craiova at disciplines like gastroenterology and urology in order to complete the traditional medical learning process. The multimedia component contains a database with color medical images acquired by the teachers from different patients in the diagnosis process, so represent real cases. A series of alphanumerical information: diagnosis, treatment and patient evolution are added for each image. The multimedia component together with modern search methods: content-based image query and content-based region query is used both in the training process and e-testing one. The content-based visual query uses characteristics that are automatically extracted from medical images (color, texture, regions). Using content-based visual query with other access methods (text-based, hierarchical methods) on a teaching image database allows students to see images and associated information from database in a simple and direct manner. This method stimulates learning, by comparing similar cases along with their particularities, or by comparing cases that are visually similar, but with different diagnoses.
Keywords
biomedical education; computer aided instruction; content-based retrieval; image colour analysis; image retrieval; medical image processing; multimedia databases; visual databases; TESYS; University of Medicine and Pharmacy Craiova; associated information; color medical images; content- based region query; content-based image query; diagnosis process; gastroenterology; imagistic database; medical e-learning; medical learning process; multimedia component; urology; Biomedical imaging; Color; Data mining; Education; Electronic learning; Image databases; Medical diagnostic imaging; Medical treatment; Multimedia databases; Search methods; hybrid learning; imagistic database; medical e-learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
Conference_Location
Jyvaskyla
ISSN
1063-7125
Print_ISBN
978-0-7695-3165-6
Type
conf
DOI
10.1109/CBMS.2008.38
Filename
4562030
Link To Document