NEWS & UPDATES

MICCAI 2022 USG-Net 2022-06-17, 2:43 pm
MICAAI 2022 USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer Kyungsu Lee, Jaeseung Yang, Moon Hwan Lee, Jin Ho Chang, Jun-Young Kim, and Jae Youn Hwang * Equally contributed Prof. Hwang announced that his recent paper entitled “USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer” has been accepted to MICCAI 2022. In the study, he developed a deep learning-based US Scanning-Guide Network (USG-Net) with the automatic dataset construction method based on 3D US images. USG-Net offers a guidance accuracy of 77.86%, demonstrating its potential as a novel tool for assisting sonographers in the diagnosis of various diseases using ultrasound imaging.

MICCAI 2022 USG-Net

2022-06-17, 2:43 pm

MICAAI 2022

USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer

Kyungsu Lee*, Jaeseung Yang*, Moon Hwan Lee, Jin Ho Chang, Jun-Young Kim, and Jae Youn Hwang
* Equally contributed

Prof. Hwang announced that his recent paper entitled “USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer” has been accepted to MICCAI 2022. In the study, he developed a deep learning-based US Scanning-Guide Network (USG-Net) with the automatic dataset construction method based on 3D US images. USG-Net offers a guidance accuracy of 77.86%, demonstrating its potential as a novel tool for assisting sonographers in the diagnosis of various diseases using ultrasound imaging.