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Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM
(Elsevier, 2021)
Objectives: Middle ear inflammatory diseases are global health problem that can have serious consequences such as hearing loss and speech disorders. The high cost of medical devices such as oto-endoscope and oto-microscope ...
Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM
(Elsevier, 2022)
Objectives: Middle ear inflammatory diseases are global health problem that can have serious consequences such as hearing loss and speech disorders. The high cost of medical devices such as otoendoscope and oto-microscope ...
Classification of myositis from muscle ultrasound images using deep learning
(Elsevier, 2022)
Inflammatory myopathies, are rare muscle diseases. As a result of the body's own immune system attacking by targeting the muscle cells, muscle weakness develops due to inflammation in the muscles. Early and definitive ...
Prediction of sports attendance: A comparative analysis
(SAGE Publications, 2022)
In this study, a comparative analysis for predicting sports attendance demand is presented based on econometric, artificial intelligence, and machine learning methodologies. Data from more than 20,000 games from three major ...
A novel image Denoising approach using super resolution densely connected convolutional networks
(Springer, 2022)
Image distortion effects, called noise, may occur due to various reasons such as image acquisition, transfer, and duplication. Image denoising is a preliminary step for many studies in the field of image processing. The ...
Deep neural network model with Bayesian optimization for tuberculosis detection from X-Ray images
(Springer, 2023)
Tuberculosis is a chronic lung disease caused by bacterial infection, and more than 10 million people get this disease every year, especially in developing countries. Early diagnosis of tuberculosis is important for effective ...