International Display Workshops General Incorporated Association

13:00 〜 13:20

[DES1/AIS1-1(Invited)] Deep Learning for Computer-Aided Diagnosis of COVID-19

*Yen-Wei Chen1、Jiaqing LIU1、Huiming HUANG2、Fang WANG2、Lanfen LIN2、Tomoko Tateyama3、Yutaro IWAMOTO1 (1.Ritsumeikan University (Japan)、2.Zhejiang University (China)、3.Shiga University (Japan))

Deep learning, COVID-19, CT image, CT involvement score

https://doi.org/10.36463/idw.2021.0853

Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide. CT is extensively used as a key complement for diagnosing COVID-19; moreover, high sensitivity was reported in patients infected by COVID-19. CT image analysis for quantitative assessments of COVID-19 becomes an important issue. Recently, deep learning has been used for computer-aided diagnosis of COVID-19, including lung infection detection, segmentation, and disease diagnosis, etc. In spite of the...