Deep Scale-Variant Network for Femur Trochanteric Fracture Classification with HP Loss

Achieving automatic classification of femur trochanteric fracture from the edge computing device is of great importance and value for remote diagnosis and treatment. Nevertheless, designing a highly accurate classification model on 31A1/31A2/31A3 fractures from the X-ray is still limited due to the...

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Detalles Bibliográficos
Autores principales: Kang, Yuxiang, Ren, Zhipeng, Zhang, Yinguang, Zhang, Aiming, Xu, Weizhe, Zhang, Guokai, Dong, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977323/
https://www.ncbi.nlm.nih.gov/pubmed/35388324
http://dx.doi.org/10.1155/2022/1560438

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977323/
https://www.ncbi.nlm.nih.gov/pubmed/35388324
http://dx.doi.org/10.1155/2022/1560438

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