2021 Volume 39 Issue 1 Pages 20-26
We propose a method for classifying the pneumonia by COVID-19 from CT volumes using metric learning. Although PCR method is currently used for COVID-19, the accuracy is low. On the other hand, researches on automatic diagnosis from medical images using deep learning have been done actively, and we considered that it is effective for classification of COVID-19. In this paper, we aim to establish an automatic COVID-19 classification method based on deep learning from CT volumes. The proposed method is classified between COVID-19 pneumonia and other diseases using metric learning, which has been attracting attention in the field of image recognition. We achieved 80％ accuracy in five cross-validation experiments.
