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

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 r...

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Bibliographic Details
Main Authors: Canyu Pan, Luoyu Lian, Jieyun Chen, Risheng Huang
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Journal of Bone Oncology
Subjects:
Bone tumors
Proximal femur
Artificial intelligence
Radiographs
DenseNet
Classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2212137423000374

Internet

http://www.sciencedirect.com/science/article/pii/S2212137423000374

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