A medical image retrieval scheme with relevance feedback through a medical social network
Bibliographic Data
| ID | 16858918 |
|---|---|
| Authors | Mouhamed Gaith Ayadi (0000-0002-9157-9788, corresponding author), Riadh Bouslimi (0000-0002-3944-0607), Jalel Akaichi (0000-0001-8849-8664) |
| Year | 2016 |
| Volume | 6 |
| Issue | 1 |
| Publication date | 2016-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-016-0362-9 |
| OpenAlex | W2496852093 |
| Language | EN |
| References cited | 63 |
Content-based image retrieval · Image retrieval · Information retrieval · Medical diagnosis · Relevance feedback · Semantic gap · Upload · World Wide Web · Advanced Image and Video Retrieval Techniques · Computer Science · Image Retrieval and Classification Techniques · Medicine · Video Analysis and Summarization · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |