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Review Open access Sep 2026

A Multi-Model, Pixel-Native Framework for Automated Computed Tomography Series Labeling and Characterization: Proof-of-Concept Study.

BACKGROUND Although Digital Imaging and Communications in Medicine (DICOM) metadata are widely used to manage medical imaging data and support clinical workflows, their suitability as a sole basis for automatic computed tomography (CT) series labeling and characterization is limited. DICOM metadata are frequently incon...

Yu-Tong Wen, A. Quinsten, C. S. Schmidt et al. · 0 citations
Review Open access Sep 2026

Topogram-based anatomical labelling of CT series: anatomy-aware CT data processing using deep learning.

OBJECTIVES This study provides a Rapid Analysis and Processing of Image Data (RAPID) framework that combines deep learning-based CT topogram analysis with DICOM spatial geometry to enable reliable anatomical labelling of CT series independent of inconsistent textual metadata. MATERIALS AND METHODS In this single-cent...

Yu-Tong Wen, Judith Kohnke, V. Parmar et al. · 1 citation

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