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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Tawsifur Rahman (14150523) (author)
مؤلفون آخرون:	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)
منشور في:	2022
الموضوعات:	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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HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images

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