Diagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs

OBJECTIVE: 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. MATERIALS AND METHODS: Of 2601 hip AP radiographs, 5076 cropped unilateral hip joint images were used to constru...

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Detalles Bibliográficos
Autores principales: Park, Hyoung Suk, Jeon, Kiwan, Cho, Yeon Jin, Kim, Se Woo, Lee, Seul Bi, Choi, Gayoung, Lee, Seunghyun, Choi, Young Hun, Cheon, Jung-Eun, Kim, Woo Sun, Ryu, Young Jin, Hwang, Jae-Yeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Pediatric Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005351/
https://www.ncbi.nlm.nih.gov/pubmed/33289354
http://dx.doi.org/10.3348/kjr.2020.0051

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005351/
https://www.ncbi.nlm.nih.gov/pubmed/33289354
http://dx.doi.org/10.3348/kjr.2020.0051

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