The result of experiments shows that SVM model based on 31 P MRS data provides diagnostic prediction of liver in vivo, and the performance based on polynomial ...
Abstract—SVM (Support Vector Machine) is a new machine- learning technique which is developed based on statistical theory.
31P MRS Data Diagnosis of Hepatocellular Carcinoma Based on Support Vector Machine. Tingting Fu, Yihui Liu, Jinyong Cheng, Qiang Liu, Baopeng Li.
Evaluation of 31P MRS is important in diagnosis and treatment of many hepatic diseases. In this paper we applied Back-propagation (BP) neural network and ...
Diagnosis of Liver Diseases from P31 MRS Data Based on ... - SpringerLink
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The data samples from P31 MRS are classified into three types of hepatocellular carcinoma, hepatic cirrhosis and normal hepatic tissue using computational ...
Experiments show that based on 31P magnetic resonance spectroscopy data of support vector machine (SVM) model can be classified to living liver diagnostic ...
Oct 28, 2022 · Key findings included in this systematic review to summarize how artificial intelligence is used today in diagnosing HCC.
Missing: 31P MRS
Conclusion: <sup>31</sup>P MRS data analysis based on neural network model provides a valuable diagnostic means of of hepatocellular carcinoma in vivo.
Dec 14, 2021 · Most in vivo 31P MR studies are realized on 3T MR systems that provide sufficient signal intensity for prominent phosphorus metabolites.
Missing: Support | Show results with:Support
Bibliographic details on 31P MRS Data Diagnosis of Hepatocellular Carcinoma Based on Support Vector Machine.