Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and C...
Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images
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Publisher
MDPI AG
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Language
English
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MDPI AG
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The purpose of this research is to demonstrate the ability of machine-learning (ML) methods for liver cancer classification using a fused dataset of two-dimensional (2D) computed tomography (CT) scans and magnetic resonance imaging (MRI). Datasets of benign (hepatocellular adenoma, hemangioma, cyst) and malignant (hepatocellular carcinoma, hepatobl...
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Full title
Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images
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TN_cdi_doaj_primary_oai_doaj_org_article_6b7e72e150c14d5cab31235a40e45194
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6b7e72e150c14d5cab31235a40e45194
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app10093134
