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Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data
Random forest has been widely recognized as one of the most powerful learning-based predictors in literature, with a broad range of applications in medical imaging. Notable efforts have been focused on enhancing the algorithm in multiple facets. In this paper, we present an original concept of multi...
में बचाया:
| में प्रकाशित: | Mach Learn Med Imaging |
|---|---|
| मुख्य लेखकों: | , , , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
2015
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6261365/ https://ncbi.nlm.nih.gov/pubmed/30506065 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-24888-2_39 |
| टैग : |
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