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CT Imaging-based Machine Learning Model: A Potential Modality for Predicting Low-Risk and High-Risk Groups of Thymoma “Impact of surgical modality choice”

2021-01-05

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<title>Abstract</title> <p><bold>Introduction</bold>Radiomics has become a hot issue in the medical imaging field, particularly in cancer imaging. Radiomics methods are used to analyze various medical images, including computed tomography (CT), magnetic resonance, and positron emission tomography to provide information regarding the diagnosis, patient outcome, tumor phenotype, and the gene-protein signatures of v...

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Literature Corpus work
916d5e0e-98e4-5211-8a97-aa08fb7d80d9
DOI
10.21203/rs.3.rs-139108/v1
Open publication

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CT Imaging-based Machine Learning Model: A Potential Modality for Predicting Low-Risk and High-Risk Groups of Thymoma “Impact of surgical modality choice”DOI 10.21203/rs.3.rs-139108/v1
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