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, Byung Eun Ahn, Kilsu Ha, Jin-Yong Lee, Zaegyoo Hah, Won-Chul Bang
Abstract
Ultrasonography (renamed from the Journal of Korean Society of Ultrasound in Medicine in January 2014), the official English-language journal of the Korean Society of Ultrasound in Medicine (KSUM), is an international peer-reviewed academic journal dedicated to practice, research, technology, and education dealing with medical ultrasound, Aims and Scope:Ultrasonography (renamed from the Journal of Korean Society of Ultrasound in Medicine in January 2014), the official English-language journal of the Korean Society of Ultrasound in Medicine (KSUM), is an international peer-reviewed academic journal dedicated to practice, research, technology, and education dealing with medical ultrasound.It is published four times per year: January 1, April 1, July 1, and October 1. Original articles, topical reviews, pictorial essays, and notable case reports are published in Ultrasonography covering state-of-the-art content. Ultrasonography also serves as a medium for cooperation among physicians and specialists from around the world who are focusing on various ultrasound technology and disease problems.