"HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip ..."

Tawsifur Rahman et al. (2022)

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DOI: 10.1109/ACCESS.2022.3173424

access: open

type: Journal Article

metadata version: 2023-01-12

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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 Enamul Hoque Chowdhury:
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images. IEEE Access 10: 53359-53373 (2022)

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