Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study

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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Bibliographic Details
Main Authors: Farnaz Khun Jush, Steffen Vogler, Tuan Truong, Matthias Lenga
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Content-based image retrieval
medical imaging
pretrained embeddings
Online Access:https://ieeexplore.ieee.org/document/10966872/
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https://ieeexplore.ieee.org/document/10966872/

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