Evaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases

Evaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases

Abstract Background This retrospective study aims to evaluate the impact of a content-based image retrieval (CBIR) application on diagnostic accuracy and confidence in interstitial lung disease (ILD) assessment using high-resolution computed tomography CT (HRCT). Methods Twenty-eight patients with v...

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Bibliographic Details
Main Authors: Benjamin Böttcher, Marly van Assen, Roberto Fari, Philipp L. von Knebel Doeberitz, Eun Young Kim, Eugene A. Berkowitz, Felix G. Meinel, Carlo N. De Cecco
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence
Diagnosis (computer-assisted)
Lung diseases (interstitial)
Tomography (x-ray computed)
Online Access:https://doi.org/10.1186/s41747-024-00539-w
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https://doi.org/10.1186/s41747-024-00539-w

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