Predictive power of deep-learning segmentation based prognostication model in non-small cell lung cancer

Predictive power of deep-learning segmentation based prognostication model in non-small cell lung cancer

PurposeThe study aims to create a model to predict survival outcomes for non-small cell lung cancer (NSCLC) after treatment with stereotactic body radiotherapy (SBRT) using deep-learning segmentation based prognostication (DESEP).MethodsThe DESEP model was trained using imaging from 108 patients wit...

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Bibliographic Details
Main Authors: Jordan C. Gainey, Yusen He, Robert Zhu, Stephen S. Baek, Xiaodong Wu, John M. Buatti, Bryan G. Allen, Brian J. Smith, Yusung Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Oncology
Subjects:
prognostication
non-small cell lung cancer
deep learning
RECIST (response evaluation criteria in solid tumors)
lung cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.868471/full

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https://www.frontiersin.org/articles/10.3389/fonc.2023.868471/full

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