Search > Browse Articles > Search



Original Article
Deep learning-based automated quantification of the hepatorenal index for evaluation of fatty liver by ultrasonography
Dong Ik Cha, Tae Wook Kang, Ji Hye Min, Ijin Joo, Dong Hyun Sinn, Sang Yun Ha, Kyunga Kim, Gunwoo Lee, Jonghyon Yi
Ultrasonography. 2021;40(4):565-574.   Published online February 24, 2021   DOI: https://doi.org/10.14366/usg.20179
                        
Special Review of Artificial Intelligence (part 2)
Current status of deep learning applications in abdominal ultrasonography
Kyoung Doo Song
Ultrasonography. 2021;40(2):177-182.   Published online September 2, 2020   DOI: https://doi.org/10.14366/usg.20085
                        
Special Reviews of Artifical Intelligence (Part 1)
Artificial intelligence in musculoskeletal ultrasound imaging
YiRang Shin, Jaemoon Yang, Young Han Lee, Sungjun Kim
Ultrasonography. 2021;40(1):30-44.   Published online September 6, 2020   DOI: https://doi.org/10.14366/usg.20080
                        
Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency
Jonghyon Yi, Ho Kyung Kang, Jae-Hyun Kwon, Kang-Sik Kim, Moon Ho Park, Yeong Kyeong Seong, Dong Woo Kim, Byungeun Ahn, Kilsu Ha, Jinyong Lee, Zaegyoo Hah, Won-Chul Bang
Ultrasonography. 2021;40(1):7-22.   Published online September 14, 2020   DOI: https://doi.org/10.14366/usg.20102
                        
1 |
Volume40 No. 4
endonote style file
5.5
2020CiteScore
 
83rd percentile
Powered by  Scopus
SCImago Journal & Country Rank
Editorial Office
A-304 Mapo Trapalace, 53 Mapo-daero, Mapo-gu, Seoul 04158, Korea
TEL : +82-2-763-5627   FAX : +82-2-763-6909   E-mail : office@ultrasound.or.kr
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © Korean Society of Ultrasound in Medicine.                 Developed in M2PI
Close layer
prev next