The purpose of this study was to develop a convolutional neural network (CNN)-based deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on conventional radiography and to assess its feasibility and diagnostic performance.
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Meeting name:
SPR 2020 Annual Meeting & Postgraduate Course
, 2020
Authors:
Cho Yeon Jin,
Park Hyoung Suk,
Jeon Kiwan,
Choi Young Hun,
Choi Gayoung,
Lee Seul Bi,
Lee Seunghyun,
Cheon Jung-eun,
Kim Woo Sun,
Ryu Young Jin,
Hwang Jae-yeon
Keywords:
Artificial intelligence,
Developmental dysplasia of the hip,
Conventional radiography