Radiomics-Based Classification of Tumor and Healthy Liver on Computed Tomography Images
Radiomics-Based Classification of Tumor and Healthy Liver on Computed Tomography Images
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Full title
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Liver malignancies, particularly hepatocellular carcinoma and metastasis, stand as prominent contributors to cancer mortality. Much of the data from abdominal computed tomography images remain underused by radiologists. This study explores the application of machine learning in differentiating tumor tissue from healthy liver tissue using radiomics...
Alternative Titles
Full title
Radiomics-Based Classification of Tumor and Healthy Liver on Computed Tomography Images
Authors, Artists and Contributors
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10969048
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10969048
Other Identifiers
ISSN
2072-6694
E-ISSN
2072-6694
DOI
10.3390/cancers16061158
