Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous live...
Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases
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Publisher
New York: Springer US
Journal title
Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
Purpose
Early identification of patients at risk of developing colorectal liver metastases can help personalizing treatment and improve oncological outcome. The aim of this study was to investigate in patients with colorectal cancer (CRC) whether a machine learning-based radiomics model can predict the occurrence of metachronous metastases.
M...
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Full title
Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases
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Record Identifier
TN_cdi_proquest_miscellaneous_2417405107
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2417405107
Other Identifiers
ISSN
2366-004X
E-ISSN
2366-0058
DOI
10.1007/s00261-020-02624-1
