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Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
We aimed to evaluate a computer-aided diagnosis (CADx) system for lung nodule classification focussing on (i) usefulness of the conventional CADx system (hand-crafted imaging feature + machine learning algorithm), (ii) comparison between support vector machine (SVM) and gradient tree boosting (XGBoo...
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| Published in: | PLoS One |
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| Main Authors: | , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Public Library of Science
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5908232/ https://ncbi.nlm.nih.gov/pubmed/29672639 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0195875 |
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