Development and validation of a deep learning signature for predicting lymphovascular invasion and survival outcomes in clinical stage IA lung adenocarcinoma: A multicenter retrospective cohort study-Reference-Cited by-同舟云学术

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Development and validation of a deep learning signature for predicting lymphovascular invasion and survival outcomes in clinical stage IA lung adenocarcinoma: A multicenter retrospective cohort study

Published:2024-04 Issue: Volume:42 Page:101894
ISSN:1936-5233
Container-title:Translational Oncology
language:en
Short-container-title:Translational Oncology

Author:

Liu Kunfeng,Lin Xiaofeng,Chen Xiaojuan,Chen Biyun,Li Sheng,Li Kunwei,Chen Huai,Li Li^ORCID

Publisher

Elsevier BV

Reference46 articles.

1. Cancer Statistics;Siegel;CA Cancer J. Clin.,2021

2. Written on behalf of the AME Thoracic Surgery Collaborative Group, Community-based lung cancer screening with low-dose CT in China: results of the baseline screening;Yang;Lung Cancer,2018

3. Surgical management of lung cancer;Lackey;Semin. Intervent. Radiol.,2013

4. Progress in the management of early-stage non-small cell lung cancer in 2017;Donington;J. Thorac. Oncol.,2018

5. Survival after sublobar resection versus lobectomy for clinical stage IA lung cancer: an analysis from the national cancer data base;Khullar;J. Thorac. Oncol.,2015

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