TY - JOUR
AU - 
AB - fcvm-09-891703 June 10, 2022 Time: 13:26 # 1 ORIGINAL RESEARCH published: 15 June 2022 doi: 10.3389/fcvm.2022.891703 Deep Learning for Detection of Exercise-Induced Pulmonary Hypertension Using Chest X-Ray Images 1 2 2 1 Kenya Kusunose , Yukina Hirata , Natsumi Yamaguchi , Yoshitaka Kosaka , 3 3 1 Takumasa Tsuji , Jun’ichi Kotoku and Masataka Sata 1 2 Department of Cardiovascular Medicine, Tokushima University Hospital, Tokushima, Japan, Ultrasound Examination Edited by: Center, Tokushima University Hospital, Tokushima, Japan, Department of Radiological Technology, Graduate School Sebastian Kelle, of Medical Care and Technology, Teikyo University, Tokyo, Japan Deutsches Herzzentrum Berlin, Germany Reviewed by: Background: Stress echocardiography is an emerging tool used to detect exercise- Ismini Lourentzou, induced pulmonary hypertension (EIPH). However, facilities that can perform stress Virginia Tech, United States echocardiography are limited by issues such as cost and equipment. Ozgur Kasapcopur, Istanbul UniversIty-Cerrahpasa, Objective: We evaluated the usefulness of a deep learning (DL) approach based on a Turkey Himanshu Buckchash, chest X-ray (CXR) to predict EIPH in 6-min walk stress echocardiography. UiT The Arctic University of Norway, Methods: The study enrolled 142 patients with scleroderma or mixed connective Norway *Correspondence: tissue disease with scleroderma features who performed a 6-min walk stress Kenya 
TI - Deep Learning for Detection of Exercise-Induced Pulmonary Hypertension Using Chest X-Ray Images
JF - Frontiers in Cardiovascular Medicine
DO - 10.3389/fcvm.2022.891703
DA - 2022-06-15
UR - https://www.deepdyve.com/lp/unpaywall/deep-learning-for-detection-of-exercise-induced-pulmonary-hypertension-9f0gerzRbv
DP - DeepDyve
ER -