Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment

OBJECTIVE: To evaluate the accuracy and clinical efficacy of a hybrid Greulich-Pyle (GP) and modified Tanner-Whitehouse (TW) artificial intelligence (AI) model for bone age assessment. MATERIALS AND METHODS: A deep learning-based model was trained on an open dataset of multiple ethnicities. A total...

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Detalles Bibliográficos
Autores principales: Lee, Kyu-Chong, Lee, Kee-Hyoung, Kang, Chang Ho, Ahn, Kyung-Sik, Chung, Lindsey Yoojin, Lee, Jae-Joon, Hong, Suk Joo, Kim, Baek Hyun, Shim, Euddeum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Musculoskeletal Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628149/
https://www.ncbi.nlm.nih.gov/pubmed/34668353
http://dx.doi.org/10.3348/kjr.2020.1468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628149/
https://www.ncbi.nlm.nih.gov/pubmed/34668353
http://dx.doi.org/10.3348/kjr.2020.1468

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