Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jongha Jang"'
Autor:
Hyo-Joon Yang, Chang Woo Cho, Jongha Jang, Sang Soo Kim, Kwang-Sung Ahn, Soo-Kyung Park, Dong Il Park
Publikováno v:
The Korean Journal of Internal Medicine, Vol 36, Iss 4, Pp 845-856 (2021)
Background/Aims We aimed to develop a deep learning model for the prediction of the risk of advanced colorectal neoplasia (ACRN) in asymptomatic adults, based on which colorectal cancer screening could be customized. Methods We collected data on 26 c
Externí odkaz:
https://doaj.org/article/ff1f869e60074de88fb781dba091123b
Autor:
Kihwan Hwang, Juntae Park, Young-Jae Kwon, Se Jin Cho, Byung Se Choi, Jiwon Kim, Eunchong Kim, Jongha Jang, Kwang-Sung Ahn, Sangsoo Kim, Chae-Yong Kim
Publikováno v:
Journal of Imaging, Vol 8, Iss 12, p 327 (2022)
To train an automatic brain tumor segmentation model, a large amount of data is required. In this paper, we proposed a strategy to overcome the limited amount of clinically collected magnetic resonance image (MRI) data regarding meningiomas by pre-tr
Externí odkaz:
https://doaj.org/article/d1588b726dd04b71b5e9ad15d91610ee
Autor:
Eun Ae Kang, Jongha Jang, Chang Hwan Choi, Sang Bum Kang, Ki Bae Bang, Tae Oh Kim, Geom Seog Seo, Jae Myung Cha, Jaeyoung Chun, Yunho Jung, Hyun Gun Kim, Jong Pil Im, Sangsoo Kim, Kwang Sung Ahn, Chang Kyun Lee, Hyo Jong Kim, Min Suk Kim, Dong Il Park
Publikováno v:
Journal of Clinical Medicine, Vol 10, Iss 4, p 633 (2021)
Early intestinal resection in patients with Crohn’s disease (CD) is necessary due to a severe and complicating disease course. Herein, we aim to predict which patients with CD need early intestinal resection within 3 years of diagnosis, according t
Externí odkaz:
https://doaj.org/article/a54b944c841940e3b820762b3f67e882
Autor:
Soo-Kyung Park, Dong Il Park, Hyo-Joon Yang, Sangsoo Kim, Chang Woo Cho, Jongha Jang, Kwang-Sung Ahn
Publikováno v:
The Korean Journal of Internal Medicine
The Korean Journal of Internal Medicine, Vol 36, Iss 4, Pp 845-856 (2021)
The Korean Journal of Internal Medicine, Vol 36, Iss 4, Pp 845-856 (2021)
Background/Aims: We aimed to develop a deep learning model for the prediction of the risk of advanced colorectal neoplasia (ACRN) in asymptomatic adults, based on which colorectal cancer screening could be customized. Methods: We collected data on 26