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| Content Provider | ACM Digital Library |
|---|---|
| Author | Valdeni de Lima, José Carro, Silvio Antonio Scharcanski, Jacob |
| Abstract | This paper presents a new metadata model to describe and retrieve medical visual information, such as images and their diagnoses, using the Web. The classes of this model allow to describe medical images of different modalities, including their properties, components and relationships. This model supports the international classification of diseases and related health problems (i.e. ICD-10)[1], and it has been used as a base for the implementation of the MedISeek (Medical Image Seek) prototype. This system allows authorized users to describe, store and retrieve medical images and their associated diagnostic information on the web for fast information exchange. Thus, this paper proposes a persistent structure for relational databases to storage and retrieve medical visual information based on the proposed the metadata model. A description of the prototype structure also is provided. |
| Starting Page | 54 |
| Ending Page | 57 |
| Page Count | 4 |
| File Format | |
| ISBN | 1581137257 |
| DOI | 10.1145/956699.956711 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2003-11-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Rdf Web Metadata Medical images Visual information retrieval |
| Content Type | Text |
| Resource Type | Article |
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