Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study
With the growing number of images generated daily in radiological practices and the digitization of historical studies, we face large databases where metadata can be incomplete or incorrect. Content-based image retrieval (CBIR) can help to manage these datasets by efficiently locating and retrieving...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10966872/ |
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