HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images

HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images

Radiographic images are commonly used to detect aseptic loosening of the hip implant in patients with total hip replacement (THR) surgeries. These techniques of manual assessment by medical professionals can suffer from the drawback of low accuracy, poor inter-observer reliability, and delays due to...

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Bibliographic Details
Main Authors: Tawsifur Rahman, Amith Khandakar, Khandaker Reajul Islam, Md Mohiuddin Soliman, Mohammad Tariqul Islam, Ahmed Elsayed, Yazan Qiblawey, Sakib Mahmud, Ashiqur Rahman, Farayi Musharavati, Erfan Zalnezhad, Muhammad E. H. Chowdhury
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Hip implant
aseptic loosening
total hip replacement
convolutional neural network
stacking technique
Online Access:https://ieeexplore.ieee.org/document/9770775/
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https://ieeexplore.ieee.org/document/9770775/

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