Medical Imaging Technology
Online ISSN : 2185-3193
Print ISSN : 0288-450X
ISSN-L : 0288-450X
Main Topic / Development of AI Analysis for COVID-19 Pneumonia Diagnosis Utilizing the Medical Big Data Cloud Platform
Development of Diagnosis Assistant AI for COVID-19 Patients
Masahiro ODATong ZHENGYuichiro HAYASHIKensaku MORI
Author information
JOURNAL FREE ACCESS

2021 Volume 39 Issue 1 Pages 13-19

Details
Abstract

We introduce AIs for diagnosis assistance of COVID-19 patients from CT volumes that were developed in Nagoya University. Novel coronavirus disease 2019(COVID-19)spreads over the world causing the large number of infected patients and deaths. Diagnosis assistance by AI is effective for diagnosing the large number of patients that are caused by infective diseases. We developed diagnosis assistant AIs for COVID-19 cases that evaluate the typical-ness of COVID-19 case based on image appearances from a CT volume. We developed three essential methods for the AIs including the lung region segmentation method, the clustering method of lung region, and the COVID-19 typical-ness evaluation method. To develop the AIs, we utilized huge number of medical images stored in the cloud platform of medical bigdata. We confirmed our AI has high performance for diagnosis assistance in the evaluations using CT volumes of real COVID-19 patients.

Content from these authors
© 2021 The Japanese Society of Medical Imaging Technology
Previous article Next article
feedback
Top