Conditional GAN performs better than orthopedic surgeon in virtual reduction of femoral neck fracture

Conditional GAN performs better than orthopedic surgeon in virtual reduction of femoral neck fracture

Abstract Objective Satisfied reduction of fracture is hard to achieve. The purpose of this study is to develop a virtual fracture reduction technique using conditional GAN (Generative Adversarial Network), and evaluate its performance in simulating and guiding reduction of femoral neck fracture, whi...

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Bibliographic Details
Main Authors: Keyang Zhao, Yihan Mei, Xiaoling Wang, Weihui Ma, Wei Shen
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Musculoskeletal Disorders
Subjects:
Deep learning
Femoral neck fracture
Generative adversarial network
Reduction
Online Access:https://doi.org/10.1186/s12891-025-08921-4
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https://doi.org/10.1186/s12891-025-08921-4

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