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의료기기 소프트웨어 규제 및 현업 실무자 수요에 대한 연구
김유리(Yuri Kim),이수정(Sujeong Lee),장혜정(Hye Jung Jang),장혁재(HJ Chang),송시영(Sy Song),한태화(TH Han) 대한전자공학회 2019 대한전자공학회 학술대회 Vol.2019 No.11
The medical device industry is increasing its software development proportion as it converges with the latest technologies such as IT, mobile, and the Internet of Things. This is raising concerns about software regulations. This paper is to identify the standard of global medical device software and to understand a (present time’s) requirement of the companies such as IT and medical device software through the surveys.
조민호(MH Cho),백승운(SW Baek),김유리(YR Kim),한아름(AR Han),장혜정(HJ Jang),한태화(TH Han),장혁재(HJ Chang),송시영(SY Song) 대한전자공학회 2019 대한전자공학회 학술대회 Vol.2019 No.11
Research to use deep learning technology to assist in diagnostics is an important factor, and researchers are interested in new challenges much. By applying this deep learning technology, we analyzed cases of artificial intelligence research in the field of diagnosis and treatment of eye diseases.