Digital Library
Search: "[ author: Jeong Chang-Won ]" (6)
A Study of Mobile Collaboration Environment based on Distributed Object Group Framework and Its application
Kim Dong-Seok, Jeong Chang-Won, Joo Su-Chong The KIPS Transactions:PartD,
Vol. 13, No. 6, pp. 847-856,
Oct.
2006
http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.847
Keywords: mobile devices, Mobile Collaboration Environment, Distributed Object Group Framework, Healthcare Application Service
http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.847
Keywords: mobile devices, Mobile Collaboration Environment, Distributed Object Group Framework, Healthcare Application Service
Development and Validation of AI Image Segmentation Model for CT Image-Based Sarcopenia Diagnosis
Lee Chung-Sub, Lim Dong-Wook, Noh Si-Hyeong, Kim Tae-Hoon, Ko Yousun, Kim Kyung Won, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems,
Vol. 12, No. 3, pp. 119-126,
Mar.
2023
https://doi.org/10.3745/KTCCS.2023.12.3.119
Keywords: Sarcopenia, Image Segmentation, External Validation, U-net, IOU
https://doi.org/10.3745/KTCCS.2023.12.3.119
Keywords: Sarcopenia, Image Segmentation, External Validation, U-net, IOU
Development of Cloud-Based Medical Image Labeling System and It's Quantitative Analysis of Sarcopenia
Lee Chung-Sub, Lim Dong-Wook, Kim Ji-Eon, Noh Si-Hyeong, Yu Yeong-Ju, Kim Tae-Hoon, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems,
Vol. 11, No. 7, pp. 233-240,
Jul.
2022
https://doi.org/10.3745/KTCCS.2022.11.7.233
Keywords: Artificial intelligence, Medical Image, DICOM, CT, Labeling Data, Sarcopenia
https://doi.org/10.3745/KTCCS.2022.11.7.233
Keywords: Artificial intelligence, Medical Image, DICOM, CT, Labeling Data, Sarcopenia
Urinary Stones Segmentation Model and AI Web Application Development in Abdominal CT Images Through Machine Learning
Lee Chung-Sub, Lim Dong-Wook, Noh Si-Hyeong, Kim Tae-Hoon, Park Sung-Bin, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 11, pp. 305-310,
Nov.
2021
https://doi.org/10.3745/KTCCS.2021.10.11.305
Keywords: Urinary Stone, DICOM, Artificial intelligence, Model Serving, Flask
https://doi.org/10.3745/KTCCS.2021.10.11.305
Keywords: Urinary Stone, DICOM, Artificial intelligence, Model Serving, Flask
Development of Web Service for Liver Cirrhosis Diagnosis Based on Machine Learning
Noh Si-Hyeong, Kim Ji-Eon, Lee Chungsub, Kim Tae-Hoon, Kim KyungWon, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 10, pp. 285-290,
Oct.
2021
https://doi.org/10.3745/KTCCS.2021.10.10.285
Keywords: DICOM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning, Deep Learning
https://doi.org/10.3745/KTCCS.2021.10.10.285
Keywords: DICOM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning, Deep Learning
Construction of Artificial Intelligence Training Platform for Multi-Center Clinical Research
Lee Chung-Sub, Kim Ji-Eon, No Si-Hyeong, Kim Tae-Hoon, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 10, pp. 239-246,
Oct.
2020
https://doi.org/10.3745/KTCCS.2020.9.10.239
Keywords: DICOM, Radiology_CDM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning
https://doi.org/10.3745/KTCCS.2020.9.10.239
Keywords: DICOM, Radiology_CDM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning
Indexing
All publications of KTCCS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
