Open AccessDiagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs
Author(s) -
Hyoung Suk Park,
Kiwan Jeon,
Yeon Jin Cho,
Se Woo Kim,
Seul Bi Lee,
Gayoung Choi,
Seul Bi Lee,
Young Hun Choi,
Jung Eun Cheon,
Woo Sun Kim,
Young Jin Ryu,
Jae-Yeon Hwang
Publication year - 2021
Publication title -
korean journal of radiology/korean journal of radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.08
H-Index - 57
eISSN - 2005-8330
pISSN - 1229-6929
DOI - 10.3348/kjr.2020.0051
Subject(s) - receiver operating characteristic , radiography , algorithm , medicine , radiology , convolutional neural network , deep learning , diagnostic accuracy , artificial intelligence , predictive value , hip dysplasia , false positive rate , area under curve , computer science , pharmacokinetics
To evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs.