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

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

Purpose: The presence of lymphovascular invasion (LVI) influences the management and outcomes of patients with clinical stage IA lung adenocarcinoma. The objective was the development of a deep learning (DL) signature for the prediction of LVI and stratification of prognosis. Methods: A total of 207...

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Bibliographic Details
Main Authors: Kunfeng Liu, Xiaofeng Lin, Xiaojuan Chen, Biyun Chen, Sheng Li, Kunwei Li, Huai Chen, Li Li
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Translational Oncology
Subjects:
Lung cancer
Adenocarcinoma
Lymphovascular invasion
Survival
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523324000202

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http://www.sciencedirect.com/science/article/pii/S1936523324000202

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