Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model-Reference-Cited by-同舟云学术

Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model

Published:2022-09-28 Issue:3 Volume:33 Page:1949-1962
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Ma Xiaoling,Xia Liming^ORCID,Chen Jun,Wan Weijia,Zhou Wen

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-022-09153-z.pdf

Reference43 articles.

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3. Altorki NK, Wang X, Wigle D et al (2018) Perioperative mortality and morbidity after sublobar versus lobar resection for early-stage non-small-cell lung cancer: post-hoc analysis of an international, randomised, phase 3 trial (CALGB/Alliance 140503). Lancet Respir Med 6(12):915–924

4. Zhang B, Liu R, Ren D et al (2021) Comparison of lobectomy and sublobar resection for stage IA elderly NSCLC patients (≥70 Years): a population-based propensity score matching’s study. Front Oncol 11:610638

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