This paper presents a comprehensive study of Convolutional Neural Networks (CNN) and
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …

Background The increased adoption of the internet, social media, wearable devices, e-
health services, and other technology-driven services in medicine and healthcare has led to …

Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …

Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

The whale optimization algorithm (WOA) is a prominent problem solver which is broadly
applied to solve NP-hard problems such as feature selection. However, it and most of its …

This paper focuses on the study of Coronavirus Disease 2019 (COVID-19) X-ray image
segmentation technology. We present a new multilevel image segmentation method based …

The lungs are a vital organ of the human body. Malfunctioning of the lungs caused a direct
threat to life. In recent years the world has witnessed massive medical insufficiency to …

COVID-19 is a novel virus that causes infection in both the upper respiratory tract and the
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …

Abstract The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of
China in December 2019, spread rapidly around the world and became a pandemic. It has …

Abstract Corona Virus Disease (COVID-19) has been announced as a pandemic and is
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …