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Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization

19 Aug 2017 • Mizuho Nishio • Mitsuo Nishizawa • Osamu Sugiyama • Ryosuke Kojima • Masahiro Yakami • Tomohiro Kuroda • Kaori Togashi

We aimed to evaluate computer-aided diagnosis (CADx) system for lung nodule classification focusing on (i) usefulness of gradient tree boosting (XGBoost) and (ii) effectiveness of parameter optimization using Bayesian optimization (Tree Parzen Estimator, TPE) and random search. 99 lung nodules (62 lung cancers and 37 benign lung nodules) were included from public databases of CT images... (read more)

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LUNG NODULE CLASSIFICATION

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METHOD	TYPE
Random Search	Hyperparameter Search
SVM	Non-Parametric Classification

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