DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image

• Published in: SN computer science Vol. 2; no. 5; p. 389
• Main Authors: Hasan, Najmul, Bao, Yukun, Shawon, Ashadullah, Huang, Yanmei
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.09.2021; Springer Nature B.V
• Subjects: Accuracy; Anesthesia; Artificial intelligence; Artificial neural networks; Classification; Computed tomography; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Coronaviruses; COVID-19; Data Structures and Information Theory; Datasets; Deep learning; Disease transmission; Information Systems and Communication Service; Medical imaging; Medical personnel; Medical research; Neural networks; Original Research; Pandemics; Pattern Recognition and Graphics; Pneumonia; Public health; Software Engineering/Programming and Operating Systems; Viral diseases; Vision; China; COVID-19; Deep learning; CT image; DenseNet-121

Recently, the destructive impact of Coronavirus 2019, commonly known as COVID-19, has affected public health and human lives. This catastrophic effect disrupted human experience by introducing an exponentially more damaging unpredictable health crisis since the Second World War (Kursumovic et al. in...