Zobrazeno 1 - 10
of 1 159
pro vyhledávání: '"Kim, Namkug"'
Autor:
Park, Ho Young, Bae, Hyun-Jin, Hong, Gil-Sun, Kim, Minjee, Yun, JiHye, Park, Sungwon, Chung, Won Jung, Kim, NamKug
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 3, p e23328 (2021)
BackgroundGenerative adversarial network (GAN)–based synthetic images can be viable solutions to current supervised deep learning challenges. However, generating highly realistic images is a prerequisite for these approaches. ObjectiveThe aim of t
Externí odkaz:
https://doaj.org/article/4b7fb07c0283439a8de1276621792fa5
Autor:
Jang, Ryoungwoo, Kim, Namkug, Jang, Miso, Lee, Kyung Hwa, Lee, Sang Min, Lee, Kyung Hee, Noh, Han Na, Seo, Joon Beom
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 8, p e18089 (2020)
BackgroundComputer-aided diagnosis on chest x-ray images using deep learning is a widely studied modality in medicine. Many studies are based on public datasets, such as the National Institutes of Health (NIH) dataset and the Stanford CheXpert datase
Externí odkaz:
https://doaj.org/article/15a7c757b0924d89ae7fc738aa7fd371
Publikováno v:
In Computer Methods and Programs in Biomedicine June 2024 251
Autor:
Antonelli, Michela, Reinke, Annika, Bakas, Spyridon, Farahani, Keyvan, AnnetteKopp-Schneider, Landman, Bennett A., Litjens, Geert, Menze, Bjoern, Ronneberger, Olaf, Summers, Ronald M., van Ginneken, Bram, Bilello, Michel, Bilic, Patrick, Christ, Patrick F., Do, Richard K. G., Gollub, Marc J., Heckers, Stephan H., Huisman, Henkjan, Jarnagin, William R., McHugo, Maureen K., Napel, Sandy, Pernicka, Jennifer S. Goli, Rhode, Kawal, Tobon-Gomez, Catalina, Vorontsov, Eugene, Meakin, James A., Ourselin, Sebastien, Wiesenfarth, Manuel, Arbelaez, Pablo, Bae, Byeonguk, Chen, Sihong, Daza, Laura, Feng, Jianjiang, He, Baochun, Isensee, Fabian, Ji, Yuanfeng, Jia, Fucang, Kim, Namkug, Kim, Ildoo, Merhof, Dorit, Pai, Akshay, Park, Beomhee, Perslev, Mathias, Rezaiifar, Ramin, Rippel, Oliver, Sarasua, Ignacio, Shen, Wei, Son, Jaemin, Wachinger, Christian, Wang, Liansheng, Wang, Yan, Xia, Yingda, Xu, Daguang, Xu, Zhanwei, Zheng, Yefeng, Simpson, Amber L., Maier-Hein, Lena, Cardoso, M. Jorge
International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely investigated medical image processing task, but the various segmentation
Externí odkaz:
http://arxiv.org/abs/2106.05735
Evaluating the performance of generative models in image synthesis is a challenging task. Although the Fr\'echet Inception Distance is a widely accepted evaluation metric, it integrates different aspects (e.g., fidelity and diversity) of synthesized
Externí odkaz:
http://arxiv.org/abs/2106.02207
Publikováno v:
In Computer Methods and Programs in Biomedicine March 2024 245
Autor:
Kim, In-Hwan, Kim, Jun-Sik, Jeong, Jiheon, Park, Jae-Woo, Park, Kanggil, Cho, Jin-Hyoung, Hong, Mihee, Kang, Kyung-Hwa, Kim, Minji, Kim, Su-Jung, Kim, Yoon-Ji, Sung, Sang-Jin, Kim, Young Ho, Lim, Sung-Hoon, Baek, Seung-Hak, Kim, Namkug
Publikováno v:
In Computer Methods and Programs in Biomedicine December 2023 242
Hand hygiene is one of the most significant factors in preventing hospital acquired infections (HAI) which often be transmitted by medical staffs in contact with patients in the operating room (OR). Hand hygiene monitoring could be important to inves
Externí odkaz:
http://arxiv.org/abs/2003.09087
Some endoscopic surgeries require a surgeon to hold the endoscope with one hand and the surgical instruments with the other hand to perform the actual surgery with correct vision. Recent technical advances in deep learning as well as in robotics can
Externí odkaz:
http://arxiv.org/abs/1911.02755
Publikováno v:
In Journal of Stroke and Cerebrovascular Diseases November 2023 32(11)