3 papers
eess.IV2020
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods
Mizuho Nishio, Shunjiro Noguchi, Hidetoshi Matsuo +1
Purpose: This study aimed to develop and validate computer-aided diagnosis (CXDx) system for classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on c…
eess.IV2020
Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model
Mizuho Nishio, Sho Koyasu, Shunjiro Noguchi +5
Background and Purpose: We aimed to develop and evaluate an automatic acute ischemic stroke-related (AIS) detection system involving a two-stage deep learning model. Methods: We in…
eess.IV2019
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…