COVID-19 Chest X-ray image classification Convolutional neural networks Deep learning Grey-wolf optimization 1. Introduction COVID-19 is a disease caused by the respiratory ailment known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a pathogen strain that had spread to more tha...
Chest X-Ray: To examine the chest, heart and lungs MRI: It is used to check if there’s any damage to the heart or Aorta On the basis of the results of these tests you will be required to undergo certain follow up tests such as: Echocardiogram: Sound waves are used to record the ...
Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders. A trained radiologist is required for interpreting the radiographs. But sometimes, even experienced radiologists can misinterpret the findings. This leads to the need for computer-aided detection diagnosis. For deca...
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13. Mekadaa Y, Kusanagi T, Hayase Y, Mori K, Hasegawa J, Toriwaki J, Mori M, Natori H, Detection of small nodules from 3D chest X-ray CT images based on shape features, Int Cong Ser 1256:971–976, 2003. Curvature-Based Correction Algorithm for Automatic Lung Segmentation 27 14. ...
and privacy. One potential solution lies in combining the chest X-ray imaging mode with federated deep learning, ensuring that no single data source can bias the model adversely. This study presents a pre-processing pipeline designed to debias chest X-ray images, thereby enhancing internal classifi...
Wang, X.; Peng, Y.; Lu, L.; Lu, Z.; Bagheri, M.; Summers, R.M. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. In Proceedings of the IEEE Conference on Computer Vision and Pattern ...