FemurTumorNet: Bone tumor classification in the proximal femur using DenseNet model based on radiographs

BACKGROUND & PURPOSE: For the best possible outcomes from therapy, proximal femur bone cancers must be accurately classified. This work creates an artificial intelligence (AI) model based on plain radiographs to categorize bone tumor in the proximal femur. MATERIALS AND METHODS: A tertiary refer...

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Detalles Bibliográficos
Autores principales: Pan, Canyu, Lian, Luoyu, Chen, Jieyun, Huang, Risheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
VSI: MI Orthopedics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520341/
https://www.ncbi.nlm.nih.gov/pubmed/37766930
http://dx.doi.org/10.1016/j.jbo.2023.100504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520341/
https://www.ncbi.nlm.nih.gov/pubmed/37766930
http://dx.doi.org/10.1016/j.jbo.2023.100504

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