Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods

1 code implementation • 1 Jun 2020 • Mizuho Nishio, Shunjiro Noguchi, Hidetoshi Matsuo, Takamichi Murakami

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 chest X-ray (CXR) images.

Data Augmentation Transfer Learning

Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model

no code implementations • 9 Apr 2020 • Mizuho Nishio, Sho Koyasu, Shunjiro Noguchi, Takao Kiguchi, Kanako Nakatsu, Thai Akasaka, Hiroki Yamada, Kyo Itoh

To assess the detection model's results, a board-certified radiologist also evaluated the test set head CT images with and without the aid of the detection model.