Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Kyu-Hwan Jung"'
Autor:
Jaemin Son, Joo Young Shin, Seo Taek Kong, Jeonghyuk Park, Gitaek Kwon, Hoon Dong Kim, Kyu Hyung Park, Kyu-Hwan Jung, Sang Jun Park
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The identification of abnormal findings manifested in retinal fundus images and diagnosis of ophthalmic diseases are essential to the management of potentially vision-threatening eye conditions. Recently, deep learning-based computer-aided d
Externí odkaz:
https://doaj.org/article/db40dd2c407843a68edf21b13b516105
Autor:
Jeonghyuk Park, Yul Ri Chung, Seo Taek Kong, Yeong Won Kim, Hyunho Park, Kyungdoc Kim, Dong-Il Kim, Kyu-Hwan Jung
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract There have been substantial efforts in using deep learning (DL) to diagnose cancer from digital images of pathology slides. Existing algorithms typically operate by training deep neural networks either specialized in specific cohorts or an a
Externí odkaz:
https://doaj.org/article/cc3a6ff7b5f74169a3a27530a75eb747
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 591 (2021)
Deep learning demands a large amount of annotated data, and the annotation task is often crowdsourced for economic efficiency. When the annotation task is delegated to non-experts, the dataset may contain data with inaccurate labels. Noisy labels not
Externí odkaz:
https://doaj.org/article/8f9ba39fb2f442eaaa0f8831dcaf0cb1
Autor:
Sung Hye Kong, Jae-Won Lee, Byeong Uk Bae, Jin Kyeong Sung, Kyu Hwan Jung, Jung Hee Kim, Chan Soo Shin
Publikováno v:
Endocrinology and Metabolism, Vol 37, Iss 4, Pp 674-683 (2022)
Background Since image-based fracture prediction models using deep learning are lacking, we aimed to develop an X-ray-based fracture prediction model using deep learning with longitudinal data. Methods This study included 1,595 participants aged 50 t
Externí odkaz:
https://doaj.org/article/6e055d55c047410aa56e3096187996d1
Autor:
Pyeong Hwa Kim, Hee Mang Yoon, Jeong Rye Kim, Jae-Yeon Hwang, Jin-Ho Choi, Jisun Hwang, Jaewon Lee, Jinkyeong Sung, Kyu-Hwan Jung, Byeonguk Bae, Ah Young Jung, Young Ah Cho, Woo Hyun Shim, Boram Bak, Jin Seong Lee
Publikováno v:
Korean Journal of Radiology; Nov2023, Vol. 24 Issue 11, p1151-1163, 13p
Autor:
Dong-Il Kim, Kyu-Hwan Jung, Bong-Hee Park, Chang Won Jung, Dong Youl Choi, Jeong Hwan Park, Jae Kyung Myung, Kyungdoc Kim, Yul Ri Chung, Eun Ji Lee, Jae Moon Gwak, Hyungsuk Ko, Myeung Ju Kim, Baek-hui Kim, Hyunho Park, Yeong Won Kim, Bo Gun Jang, Jeonghyuk Park
Purpose:Gastric cancer remains the leading cause of cancer-related deaths in Northeast Asia. Population-based endoscopic screenings in the region have yielded successful results in early detection of gastric tumors. Endoscopic screening rates are con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24957508d7dabd1c88b2f65c10984bfe
https://doi.org/10.1158/1078-0432.c.6530208.v1
https://doi.org/10.1158/1078-0432.c.6530208.v1
Autor:
Dong-Il Kim, Kyu-Hwan Jung, Bong-Hee Park, Chang Won Jung, Dong Youl Choi, Jeong Hwan Park, Jae Kyung Myung, Kyungdoc Kim, Yul Ri Chung, Eun Ji Lee, Jae Moon Gwak, Hyungsuk Ko, Myeung Ju Kim, Baek-hui Kim, Hyunho Park, Yeong Won Kim, Bo Gun Jang, Jeonghyuk Park
Supplementary Figure S1-8, Supplementary Table S1-9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47713825d7a19b24d05872eea83eb01c
https://doi.org/10.1158/1078-0432.22479387.v1
https://doi.org/10.1158/1078-0432.22479387.v1
Publikováno v:
Journal of Digital Imaging. 35:1061-1068
Algorithms that automatically identify nodular patterns in chest X-ray (CXR) images could benefit radiologists by reducing reading time and improving accuracy. A promising approach is to use deep learning, where a deep neural network (DNN) is trained
Publikováno v:
European Radiology. 32:1054-1064
To evaluate the effects of computer-aided diagnosis (CAD) on inter-reader agreement in Lung Imaging Reporting and Data System (Lung-RADS) categorization. Two hundred baseline CT scans covering all Lung-RADS categories were randomly selected from the
Autor:
Kyung Sik Ahn, Saelin Oh, Baek Hyun Kim, Jin Hyuck Lee, Woo Young Jang, Kyu-Hwan Jung, Hae Woon Jung, Si Wook Lee, Byeonguk Bae, Jinkyeong Sung, Jae-Won Lee, Soon Hyuck Lee, Chang Ho Kang
Publikováno v:
European Radiology. 31:8947-8955
Bone age is considered an indicator for the diagnosis of precocious or delayed puberty and a predictor of adult height. We aimed to evaluate the performance of a deep neural network model in assessing rapidly advancing bone age during puberty using e