تصفح حسب المؤلف "Islam, Khandaker Reajul"
-
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Rahman, Tawsifur; Akinbi, Alex; Chowdhury, Muhammad E. H.; Rashid, Tarik A.; Şengür, Abdulkadir; Khandakar, Amith; Islam, Khandaker Reajul; Ismael, Aras M.... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ... -
Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images
Podder, Kanchon Kanti; Alam, Mohammad Kaosar; Siam, Zakaria Shams; Islam, Khandaker Reajul; Dutta, Proma; Mushtak, Adam; Khandakar, Amith; Pedersen, Shona; Chowdhury, Muhammad E.H.... more authors ... less authors ( springer link , 2023 , Article)The human eye could be affected with conjunctival melanoma, which indicates a fatal malignant growth of the eye. Being a very rare disease, there exists a lack of related data in the literature. Also, very few studies ... -
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images
Rahman, Tawsifur; Khandakar, Amith; Islam, Khandaker Reajul; Soliman, Md Mohiuddin; Islam, Mohammad Tariqul; Elsayed, Ahmed; Qiblawey, Yazan; Mahmud, Sakib; Rahman, Ashiqur; Musharavati, Farayi; Zalnezhad, Erfan; Chowdhury, Muhammad E. H.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)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 ...