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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Detalles Bibliográficos
Autores principales: Nishio, Mizuho, Nishizawa, Mitsuo, Sugiyama, Osamu, Kojima, Ryosuke, Yakami, Masahiro, Kuroda, Tomohiro, Togashi, Kaori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908232/
https://www.ncbi.nlm.nih.gov/pubmed/29672639
http://dx.doi.org/10.1371/journal.pone.0195875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908232/
https://www.ncbi.nlm.nih.gov/pubmed/29672639
http://dx.doi.org/10.1371/journal.pone.0195875

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