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- Deakin UniversityAU11 papers
- Ngee Ann PolytechnicSG11 papers
- Singapore University of Social SciencesSG11 papers
- Islamic Azad University, MashhadIR6 papers
- Islamic Azad University, Science and Research BranchIR6 papers
- K. N. Toosi University of TechnologyIR5 papers
- Universidad de GranadaES5 papers
- Islamic Azad University, TehranIR4 papers
- University of CambridgeGB4 papers
- China Medical UniversityTW3 papers
- Dibrugarh UniversityIN3 papers
- Ferdowsi University of MashhadIR3 papers
7 papers · 1 filter
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars +7
Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients. The electr…
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber +4
Breast histology image classification is a crucial step in the early diagnosis of breast cancer. In breast pathological diagnosis, Convolutional Neural Networks (CNNs) have demonst…
Application of artificial intelligence techniques for automated detection of myocardial infarction: A review
Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi +13
Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly individuals…
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection
Moloud Abdar, Soorena Salari, Sina Qahremani +7
The COVID-19 (Coronavirus disease 2019) pandemic has become a major global threat to human health and well-being. Thus, the development of computer-aided detection (CAD) systems th…
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari +9
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. I…
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Longling Zhang, Bochen Shen, Ahmed Barnawi +3
Existing deep learning technologies generally learn the features of chest X-ray data generated by Generative Adversarial Networks (GAN) to diagnose COVID-19 pneumonia. However, the…