Deep learning-assisted interactive contouring of lung cancer: Impact on contouring time and consistency

20243 citationsJournal Articlehybrid Open Access

Authors

Michael J. Trimpl · University of Oxford

Sorcha Campbell · NHS Lothian

N. Panakis · Oxford University Hospitals NHS Trust

Daniel Ajzensztejn · Oxford University Hospitals NHS Trust

Emma Burke · Oxford University Hospitals NHS Trust

Shawn Ellis · Oxford University Hospitals NHS Trust

Philippa Johnstone

Abstract

A DL-assisted interactive contouring approach decreased active contouring time and local inter-observer variability when used to delineate lung cancer GTVs compared to a standard manual method. Integration of this tool into the clinical workflow could assist clinicians in contouring tasks and improve contouring efficiency.

Topics & Keywords

Lung Cancer Diagnosis and Treatment Radiomics and Machine Learning in Medical Imaging Advanced Radiotherapy Techniques

Publication Details

Published in: Radiotherapy and Oncology

Volume 200, pp. 110500-110500

DOI: 10.1016/j.radonc.2024.110500

Field-Weighted Citation Impact: 1.25

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Deep learning-assisted interactive contouring of lung cancer: Impact on contouring time and consistency

Authors

Abstract

Topics & Keywords

Publication Details