The Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-Dose Screening Thoracic CT

2025/04/16 by Avivah J. Wang, Fakrul Islam Tushar, Michael R. Harowicz +4 · 1 voice · 2 citations
Medicine · #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging #COVID-19 diagnosis using AI

paper · doi:10.1148/ryai.240248

Abstract

The Duke Lung Cancer Screening (DLCS) dataset is a large collection of lung cancer screening low-dose CT scans for lung nodule classification with annotations performed in a semiautomated manner, requiring substantially reduced radiologist effort.

Citations

• The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
• Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Cited by

• The Need for Contemporary, Diverse, and Annotated Datasets to Advance AI in Lung Cancer Screening
• Vision-language model-based semantic-guided imaging biomarker for lung nodule malignancy prediction

Discussions

• @DukeRadiology Lung Cancer Screening set contains 2061 lung cancer screening low-dose CT scans, acquired within the past 10 years, with 3187 semiautomatically annotated nodules https://doi.org/10.1148 [bsky, 7 points, 0 comments]

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