An explainable machine learning model combining intratumoral and peritumoral computed tomography radiomics with maximum standard uptake value for predicting International Association for the Study of Lung Cancer grading and prognosis in stage I pure-solid lung adenocarcinoma.
- DOI
- 10.21037/jtd-2026-1888
- Published
- 2026 Oct 30
- Container
- Journal of thoracic disease
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.21037/jtd-2026-1888,
title = {An explainable machine learning model combining intratumoral and peritumoral computed tomography radiomics with maximum standard uptake value for predicting International Association for the Study of Lung Cancer grading and prognosis in stage I pure-solid lung adenocarcinoma.},
author = {Wang H and Lan J and Chen Y and Xiao Z and Tang K and Chen S and Chen F and Xie J and Xin E and Zheng X and Shao L and Cao G and Zheng X and Wang Z},
year = {2026},
journal = {Journal of thoracic disease},
doi = {10.21037/jtd-2026-1888},
url = {https://doi.org/10.21037/jtd-2026-1888}
}RIS
TY - JOUR TI - An explainable machine learning model combining intratumoral and peritumoral computed tomography radiomics with maximum standard uptake value for predicting International Association for the Study of Lung Cancer grading and prognosis in stage I pure-solid lung adenocarcinoma. AU - Wang H AU - Lan J AU - Chen Y AU - Xiao Z AU - Tang K AU - Chen S AU - Chen F AU - Xie J AU - Xin E AU - Zheng X AU - Shao L AU - Cao G AU - Zheng X AU - Wang Z PY - 2026 JO - Journal of thoracic disease DO - 10.21037/jtd-2026-1888 UR - https://doi.org/10.21037/jtd-2026-1888 ER -
APA
H, W., J, L., Y, C., Z, X., K, T., S, C., F, C., J, X., E, X., X, Z., L, S., G, C., X, Z., & Z, W. (2026). An explainable machine learning model combining intratumoral and peritumoral computed tomography radiomics with maximum standard uptake value for predicting International Association for the Study of Lung Cancer grading and prognosis in stage I pure-solid lung adenocarcinoma.. Journal of thoracic disease. https://doi.org/10.21037/jtd-2026-1888
Source records
- pubmed · retrieved 2026-11-10T12:41:44.332Z
- europe-pmc · retrieved 2026-11-10T12:41:44.336Z