Deep learning for predicting subtype classification and survival of lung adenocarcinoma on computed tomography

Deep learning for predicting subtype classification and survival of lung adenocarcinoma on computed tomography

Objectives: The subtype classification of lung adenocarcinoma is important for treatment decision. This study aimed to investigate the deep learning and radiomics networks for predicting histologic subtype classification and survival of lung adenocarcinoma diagnosed through computed tomography (CT)...

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Bibliographic Details
Main Authors: Chengdi Wang, Jun Shao, Junwei Lv, Yidi Cao, Chaonan Zhu, Jingwei Li, Wei Shen, Lei Shi, Dan Liu, Weimin Li
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Translational Oncology
Subjects:
Deep learning
Computed tomography
Lung adenocarcinoma
Subtype
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523321001339

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http://www.sciencedirect.com/science/article/pii/S1936523321001339

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