Unsupervised Detection Of Disturbances In 2d Radiographs
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)(2021)
摘要
We present a method based on a generative model for detection of disturbances such as prosthesis, screws, zippers, and metals in 2D radiographs. The generative model is trained in an unsupervised fashion using clinical radiographs as well as simulated data, none of which contain disturbances. Our approach employs a latent space consistency loss which has the benefit of identifying similarities, an...
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关键词
Radiography,Computational modeling,Metals,X-rays,Fasteners,Data models,Pelvis
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