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Predicting Treatment Response to Intra-arterial Therapies of Hepatocellular Carcinoma using Supervised Machine Learning—An Artificial Intelligence Concept
PURPOSE: To use magnetic resonance (MR) imaging and clinical patient data to create an artificial intelligence (AI) framework for the prediction of therapeutic outcomes of trans-arterial chemoembolization (TACE) by applying machine learning (ML) techniques. METHODS: This study included 36 patients w...
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| Udgivet i: | J Vasc Interv Radiol |
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| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5970021/ https://ncbi.nlm.nih.gov/pubmed/29548875 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jvir.2018.01.769 |
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