3D deep learning model to predict the recurrence of stage IA invasive lung adenocarcinoma after sub-lobar resection: a multicenter retrospective cohort study.
- DOI
- 10.1007/s10278-026-01925-z
- Published
- 2026 Mar 31
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-01925-z,
title = {3D deep learning model to predict the recurrence of stage IA invasive lung adenocarcinoma after sub-lobar resection: a multicenter retrospective cohort study.},
author = {Fan X and Liang C and Ma XQ and Feng YB and Fan QR and Wang DW and Luo TY and Lv FJ and Li Q},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-01925-z},
url = {https://doi.org/10.1007/s10278-026-01925-z}
}RIS
TY - JOUR TI - 3D deep learning model to predict the recurrence of stage IA invasive lung adenocarcinoma after sub-lobar resection: a multicenter retrospective cohort study. AU - Fan X AU - Liang C AU - Ma XQ AU - Feng YB AU - Fan QR AU - Wang DW AU - Luo TY AU - Lv FJ AU - Li Q PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-01925-z UR - https://doi.org/10.1007/s10278-026-01925-z ER -
APA
X, F., C, L., XQ, M., YB, F., QR, F., DW, W., TY, L., FJ, L., & Q, L. (2026). 3D deep learning model to predict the recurrence of stage IA invasive lung adenocarcinoma after sub-lobar resection: a multicenter retrospective cohort study.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-01925-z
Source records
- pubmed · retrieved 2026-09-25T17:56:37.325Z