137 citations · 148 across the 2 of their papers we have counts for
2 papers
eess.IV2019★ 11 cited
Lung segmentation on chest x-ray images in patients with severe abnormal findings using deep learning
Mizuho Nishio, Koji Fujimoto, Kaori Togashi
Rationale and objectives: Several studies have evaluated the usefulness of deep learning for lung segmentation using chest x-ray (CXR) images with small- or medium-sized abnormal f…
cs.CV2017★ 137 cited
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
Mizuho Nishio, Mitsuo Nishizawa, Osamu Sugiyama +4
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…