Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapy

Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapy

Background and Purpose: Prognostic assessment of local therapies for colorectal liver metastases (CLM) is essential for guiding management in radiation oncology. Computed tomography (CT) contains liver texture information which may be predictive of metastatic environments. To investigate the feasibi...

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Bibliographic Details
Main Authors: Ricky Hu, Ishita Chen, Jacob Peoples, Jean-Paul Salameh, Mithat Gönen, Paul B. Romesser, Amber L. Simpson, Marsha Reyngold
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Radiomics
Artificial intelligence
Machine learning
Computer vision
Survival analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S240563162200080X

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http://www.sciencedirect.com/science/article/pii/S240563162200080X

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