Zobrazeno 1 - 10 of 26 pro vyhledávání: '"Myeongchan Kim"'
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Akademický článek
The Latest Trends in the Use of Deep Learning in Radiology Illustrated Through the Stages of Deep Learning Algorithm Development
Autor: Kyoung Doo Song, Myeongchan Kim, Synho Do
Publikováno v: 대한영상의학회지, Vol 80, Iss 2, Pp 202-212 (2019)
Recently, considerable progress has been made in interpreting perceptual information through artificial intelligence, allowing better interpretation of highly complex data by machines. Furthermore, the applications of artificial intelligence, repres
Externí odkaz: https://doaj.org/article/1c8c4b86e6404fb4910877d35b40ca82
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6
Influenza Screening Using Patient-Generated Health Data in Post COVID-19 Pandemic
Autor: Hyunwoo, Choo, Myeongchan, Kim, Dohyung, Lee, Soo-Yong, Shin
Publikováno v: Studies in health technology and informatics. 294
It is very important to ensure reliable performance of deep learning model for future dataset for healthcare. This is more pronounced in the case of patient generated health data such as patient reported symptoms, which are not collected in a control
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::d63728a544ae04abbf0845e16b2ceda2
https://pubmed.ncbi.nlm.nih.gov/35612154
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7
Symptom-Based COVID19 Screening Model Combined with Surveillance Information
Autor: Dohyung, Lee, Myeongchan, Kim, Hyunwoo, Choo, Soo-Yong, Shin
Publikováno v: Studies in health technology and informatics. 294
As the number of cases for COVID-19 continues to grow unprecedentedly, COVID-19 screening is becoming more important. In this study, we trained machine learning models from the Israel COVID-19 dataset and compared models that used surveillance indice
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::86842078156bb77339b9a1c93c342a0b
https://pubmed.ncbi.nlm.nih.gov/35612190
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8
Influenza Screening Using Patient-Generated Health Data in Post COVID-19 Pandemic
Autor: Hyunwoo Choo, Myeongchan Kim, Dohyung Lee, Soo-Yong Shin
It is very important to ensure reliable performance of deep learning model for future dataset for healthcare. This is more pronounced in the case of patient generated health data such as patient reported symptoms, which are not collected in a control
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::23123a1f4fae6d0884f6d77b1caaff9a
https://doi.org/10.3233/shti220533
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9
Symptom-Based COVID19 Screening Model Combined with Surveillance Information
Autor: Dohyung Lee, Myeongchan Kim, Hyunwoo Choo, Soo-Yong Shin
As the number of cases for COVID-19 continues to grow unprecedentedly, COVID-19 screening is becoming more important. In this study, we trained machine learning models from the Israel COVID-19 dataset and compared models that used surveillance indice
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b8e6bfa26709f078b730ee5ad01f1918
https://doi.org/10.3233/shti220569
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10
Deep Convolutional Neural Network–based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs
Autor: Yongsik Sim, Byoung Wook Choi, Synho Do, Seungwook Yang, Dongjae Lee, Elmar Kotter, Myeongchan Kim, Kyunghwa Han, Myung Jin Chung, Sehyo Yune, Hanmyoung Kim
Publikováno v: Radiology. 294:199-209
Background Multicenter studies are required to validate the added benefit of using deep convolutional neural network (DCNN) software for detecting malignant pulmonary nodules on chest radiographs. Purpose To compare the performance of radiologists in
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6f852739bc2482fa6f288c9107d77db2
https://doi.org/10.1148/radiol.2019182465
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