In many locations, reverse transcription polymerase chain reaction (RT-PCR) tests are used
to identify COVID-19. It could take more than 48 h. It is a key factor in its seriousness and …

Acquiring medical images while maintaining patient information confidentiality is a difficult
task, which leads to a lack of sufficient data for deep learning-based disease detection. To …

In our current work we tackle the complex problem of classifying medical images in X-ray
modality to distinguish between lungs with Covid-19 and Normal control subjects. We aim to …

Introduction Radiologists have extensively employed the interpretation of chest X-rays
(CXR) to identify visual markers indicative of COVID-19 infection, offering an alternative …

Radiological image analysis using machine learning has been extensively applied to
enhance biopsy diagnosis accuracy and assist radiologists with precise cures. With …

Covid-19 is one of the deadly diseases that spread among many countries of the world. In
Conventional method of covid-19 testing, people felt a sharp pain which also causes …

Covid-19 has had a far-reaching influence on almost every aspect of everyday life. Deep
learning techniques utilizing Chest CT images are currently proving to be significant …

Transfer learning has emerged as a pivotal technique in deep learning, allowing pre-trained
models to be fine-tuned for novel tasks. This has often led to enhanced performance and …

ABSTRACT A wireless sensor network (WSN) is considered a huge set of sensor nodes with
constrained power supply and limited computational ability. Owing to the limited …

Object Detection is the task of localization and classification of objects in a video or image. It
achieved importance in recent times because of its extensive applications. It involves …