Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of invasive lung adenocarcinoma

The ML model based on DLCT parameters helps predict the invasiveness of GGNs and classifies the GGNs into different risk grades.

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Publication Details

Journal
Translational Lung Cancer Research
Published
2025-02-01
DOI
https://doi.org/10.21037/tlcr-24-822
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of invasive lung adenocarcinoma

Zhen Quan, Feng Pan, Peng Sun, Tianhe Ye et al.
1 citations
Translational Lung Cancer Research
Radiomics and Machine Learning in Medical Imaging
1.36
article

Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of invasive lung adenocarcinoma

Zhen Quan, Feng Pan, Peng Sun, Tianhe Ye, Zhaokai Wang, Shen Gui, Weiwei Liu, Qianqian Fan, Jiayu Wan, Xue Lin, Bo Yang, Lian Yang, X. Geng
article en
1 citations

Abstract

The ML model based on DLCT parameters helps predict the invasiveness of GGNs and classifies the GGNs into different risk grades.

Translational Lung Cancer ResearchVol. 14(2)
Union Hospital (HK), Philips (China) (CN), Hubei Provincial Center for Disease Control and Prevention (CN), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN), Huazhong University of Science and Technology (CN)
Zero hunger
Openalex Percentile: Top 23%
Radiomics and Machine Learning in Medical Imaging
1.36
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Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of invasive lung adenocarcinoma — Zhen Quan, Feng Pan, et al. · Translational Lung Cancer Research (2025) | TGRS Research Map | TGRS