Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Han Na Noh"'
Autor:
Miso Jang, Hyun-jin Bae, Minjee Kim, Seo Young Park, A-yeon Son, Se Jin Choi, Jooae Choe, Hye Young Choi, Hye Jeon Hwang, Han Na Noh, Joon Beom Seo, Sang Min Lee, Namkug Kim
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The generative adversarial network (GAN) is a promising deep learning method for generating images. We evaluated the generation of highly realistic and high-resolution chest radiographs (CXRs) using progressive growing GAN (PGGAN). We traine
Externí odkaz:
https://doaj.org/article/81c342f5289a4c27b81d630f94efa3f9
Autor:
Sohee Park, Jooae Choe, Hye Jeon Hwang, Han Na Noh, Young Ju Jung, Jung-Bok Lee, Kyung-Hyun Do, Eun Jin Chae, Joon Beom Seo
Publikováno v:
American Journal of Respiratory & Critical Care Medicine; 10/15/2023, Vol. 208 Issue 8, p858-867, 10p
Publikováno v:
Radiology. 299:202-210
Background The solid portion size of lung cancer lesions manifesting as subsolid lesions is key in their management, but the automatic measurement of such lesions by means of a deep learning (DL) algorithm needs evaluation. Purpose To evaluate the pe
Autor:
Joon Beom Seo, Miso Jang, Namkug Kim, Kyung Hee Lee, Ryoungwoo Jang, Sang Min Lee, Kyung Hwa Lee, Han Na Noh
Publikováno v:
JMIR Medical Informatics
JMIR Medical Informatics, Vol 8, Iss 8, p e18089 (2020)
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
Autor:
Ryoungwoo Jang, Namkug Kim, Miso Jang, Kyung Hwa Lee, Sang Min Lee, Kyung Hee Lee, Han Na Noh, Joon Beom Seo
BACKGROUND Computer-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 datas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc2bf78c0948678c29ad83cac5dcb99c
https://doi.org/10.2196/preprints.18089
https://doi.org/10.2196/preprints.18089
Autor:
Han Na Noh, Sang Min Lee, Kyung-Hyun Do, Hye Jeon Hwang, Joon Beom Seo, Seon-Ok Kim, Sohee Park
Publikováno v:
European radiology. 30(9)
To develop a model for differentiating the predominant subtype-based prognostic groups of lung adenocarcinoma using CT radiomic features, and to validate its performance in comparison with radiologists’ assessments. A total of 993 patients presenti
Publikováno v:
Journal of Korean Academy of Esthetic Dentistry. 23:95-104
Autor:
Jong Sung Kim, Han Na Noh
Publikováno v:
Journal of Nanoscience and Nanotechnology. 13:5240-5244
Recently quantum dots (QDs) have been extensively used in the field of biotechnology. QDs have merits of wide selection of emission wavelength and exceptional stability against photo bleaching over conventional organic fluorophores and are used in ce
Publikováno v:
Journal of Nanoscience and Nanotechnology. 8:5220-5223
Multi-walled carbon nanotubes (MWCNT) should be treated via cutting process for engineering applications because almost as-prepared MWCNT are highly entangled and aggregated. Especially, the size distribution of MWCNT after cutting process is very im
Autor:
Han Na, Noh, Jong Sung, Kim
Publikováno v:
Journal of nanoscience and nanotechnology. 13(9)
In clinical diagnostics, single-stranded DNAs (ssDNA) have been prepared from the human genomic DNA for the detection of a specific gene. In this study, the human genomic DNA was degraded via ultrasonication in solution, and K-ras oncogene was detect