Medical Image Databases: A Content-based Retrieval Approach
AUTOR(ES)
Tagare, Hemant D.
FONTE
American Medical Informatics Association
RESUMO
Information contained in medical images differs considerably from that residing in alphanumeric format. The difference can be attributed to four characteristics: (1) the semantics of medical knowledge extractable from images is imprecise; (2) image information contains form and spatial data, which are not expressible in conventional language; (3) a large part of image information is geometric; (4) diagnostic inferences derived from images rest on an incomplete, continuously evolving model of normality. This paper explores the differentiating characteristics of text versus images and their impact on design of a medical image database intended to allow content-based indexing and retrieval. One strategy for implementing medical image databases is presented, which employs object-oriented iconic queries, semantics by association with prototypes, and a generic schema.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=61234Documentos Relacionados
- PathMaster: Content-based Cell Image Retrieval Using Automated Feature Extraction
- An image organizer with content-based image retrieval
- Técnicas de visualização para sistemas de recuperação de imagens por conteúdo
- Recuperação de vídeos comprimidos por conteúdo
- Métodos adaptativos de segmentação aplicados à recuperação de imagens por conteúdo
