Zobrazeno 1 - 10
of 16
pro vyhledávání: '"KyongHoon Kim"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract In this study, we investigated a convolutional neural network (CNN)-based framework for the estimation of the best-corrected visual acuity (BCVA) from fundus images. First, we collected 53,318 fundus photographs from the Gyeongsang National
Externí odkaz:
https://doaj.org/article/4b065d2568c14efa8270b7f047f8811c
Publikováno v:
Buildings, Vol 14, Iss 1, p 5 (2023)
Building maintenance plays an increasingly important role as buildings age. During maintenance, it is necessary to analyze building defects and record their locations when performing exterior inspections. Hence, this study proposes an automatic three
Externí odkaz:
https://doaj.org/article/07d3b588081544aab951987d17bffb30
Autor:
Tae Seen Kang, Bum Jun Kim, Ki Yup Nam, Seongjin Lee, Kyonghoon Kim, Woong-sub Lee, Jinhyun Kim, Yong Soep Han
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract We analyzed fundus images to identify whether convolutional neural networks (CNNs) can discriminate between right and left fundus images. We gathered 98,038 fundus photographs from the Gyeongsang National University Changwon Hospital, South
Externí odkaz:
https://doaj.org/article/66cbde4c002d4fee8d355f8303f07f3a
Publikováno v:
Buildings, Vol 13, Iss 11, p 2754 (2023)
Continuous inspections and observations are required to preserve the safety and condition of buildings. Although the number of deteriorated buildings has increased over the years, traditional inspection methods are still used. However, this approach
Externí odkaz:
https://doaj.org/article/7edd3786457a4b00a6d2f21ef2b1c226
Autor:
Tae Seen Kang, Yeongseop Lee, Seongjin Lee, Kyonghoon Kim, Woong-sub Lee, Woohyuk Lee, Jin Hyun Kim, Yong Seop Han
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Optical coherence tomography (OCT) is a noninvasive method that can quickly and accurately examine the eye at the cellular level. Several studies have used OCT for analysis of anterior chamber cells. However, these studies have several limit
Externí odkaz:
https://doaj.org/article/5b8f985215e54513aa692eb9323d3557
Autor:
Tae Seen Kang, Bum Jun Kim, Ki Yup Nam, Seongjin Lee, Kyonghoon Kim, Woong-sub Lee, Jinhyun Kim, Yong Seop Han
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/d93bcdb1bc5142b88931e27fb40a0b9c
Publikováno v:
Applied Sciences, Vol 9, Iss 18, p 3810 (2019)
Activities on Unmanned Aerial Vehicle (UAV) have increased over the last years and there are many fields in which UAVs can be used. One of the basic applications is reconnaissance of a given area using multiple UAVs. To perform reconnaissance mission
Externí odkaz:
https://doaj.org/article/d9f41aee3a7740cb954d1e16f150276d
Autor:
Tae Seen Kang, Bum Jun Kim, Ki Yup Nam, Seongjin Lee, Kyonghoon Kim, Woong-sub Lee, Jinhyun Kim, Yong Soep Han
Publikováno v:
Scientific Reports
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
We analyzed fundus images to identify whether convolutional neural networks (CNNs) can discriminate between right and left fundus images. We gathered 98,038 fundus photographs from the Gyeongsang National University Changwon Hospital, South Korea, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f08bbeee4964d0edd97ae296902abd84
https://pubmed.ncbi.nlm.nih.gov/35418582
https://pubmed.ncbi.nlm.nih.gov/35418582
Publikováno v:
Ad Hoc Networks. 131:102856
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8416130ce996a7de30641e8093a2fae
https://doi.org/10.1016/j.adhoc.2022.102856
https://doi.org/10.1016/j.adhoc.2022.102856
Publikováno v:
Advanced Science Letters. 21:488-491
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36f7714a2cf7652ee6bec54987f5253e
https://doi.org/10.1166/asl.2015.5797
https://doi.org/10.1166/asl.2015.5797