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

<p dir="ltr">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 r...

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Bibliographic Details
Main Author: Tawsifur Rahman (14150523) (author)
Other Authors: Amith Khandakar (14151981) (author), Khandaker Reajul Islam (16904832) (author), Md Mohiuddin Soliman (16904835) (author), Mohammad Tariqul Islam (7854059) (author), Ahmed Elsayed (5055611) (author), Yazan Qiblawey (16904838) (author), Sakib Mahmud (15302404) (author), Ashiqur Rahman (3969347) (author), Farayi Musharavati (14571268) (author), Erfan Zalnezhad (16904841) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published: 2022
Subjects:
Biomedical and clinical sciences
Clinical sciences
Engineering
Biomedical engineering
Information and computing sciences
Machine learning
Implants
Hip
X-ray imaging
Surgery
Convolutional neural networks
Stacking
Reliability
Hip implant
Aseptic loosening
Total hip replacement
Convolutional neural network
Stacking technique
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