COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques.

SARS-CoV-2 is a novel virus, responsible for causing the COVID-19 pandemic that has emerged as a pandemic in recent years. Humans are becoming infected with the virus. In 2019, the city of Wuhan reported the first-ever incidence of COVID-19. COVID-19 infected people have symptoms that are related to pneumonia, and the virus affects the body's respiratory organs, making breathing difficult. A real-time reverse transcriptase-polymerase chain reaction (RT-PCR) kit is used to diagnose the disease. Due to a shortage of kits, suspected patients cannot be treated promptly, resulting in disease spread. To develop an alternative, radiologists looked at the changes in radiological imaging, like CT scans, that produce comprehensive pictures of the body of excellent quality. The suspected patient's computed tomography (CT) scan is used to distinguish between a healthy individual and a COVID-19 patient using deep learning algorithms. A lot of deep learning methods have been proposed for COVID-19. The proposed work utilizes CNN architectures like VGG16, DeseNet121, MobileNet, NASNet, Xception, and EfficientNet. The dataset contains 3873 total CT scan images with "COVID" and "Non-COVID." The dataset is divided into train, test, and validation. Accuracies obtained for VGG16 are 97.68%, DenseNet121 is 97.53%, MobileNet is 96.38%, NASNet is 89.51%, Xception is 92.47%, and EfficientNet is 80.19%, respectively. From the obtained analysis, the results show that the VGG16 architecture gives better accuracy compared to other architectures.

Disseminated Extramedullary Plasmacytoma with Unusual Cardiac and Pancreatic Involvement-Literature Review and Rare Case Report.

Disseminated extramedullary plasmacytoma (EMP) is an unusual entity that has nonspecific imaging features at MRI. Nevertheless, knowledge of its imaging features and unusual locations might help radiologists to suspect it in the appropriate clinical scenario. Some noncontiguous EMPs might mimic lymphoma and MRI would be useful as a problem-solving tool in EMP and would help in treatment planning. We report an unusual cardiac mass in cardiac MRI, a detailed work-up of which led to the diagnosis of multifocal EMP involving the heart, ribs, pancreas, retroperitoneum, and soft tissues of the thigh, rarely reported in the literature.