Testing is one of the important methodologies used by various countries in order to fight
against COVID-19 infection. The infection is considered as one of the deadliest ones …

Diagnosis of Tuberculosis has witnessed a substantial improvement owing to the infusion of
technology in the form of deep learning classification. The transfer learning techniques …

Pulmonary Tuberculosis remains as an epidemic in the world and continues to be one of the
leading causes of death according to WHO. The number of cases reported worldwide is …

This paper introduces an innovative healthcare approach using convolutional neural
networks (CNNs) to detect tuberculosis (TB) in chest X-rays. The primary objective is to …

In the last decades, Tuberculosis (TB) can be considered a serious illness affecting people
over the globe and it leads to mortality when left untreated. Chest X-Ray (CXR) is the …

Pulmonary tuberculosis (TB) has been considered a leading cause of concern around the
world for decades and can be considered as a pandemic itself. The increasing number of …

In 2018, an invariant numbers ranging from 10 million people suffered from Tuberculosis
(TB) approximately that has remained quite stable in recent years, based on the WHO 2019 …

Medical image has always been considered as a significant research area when it comes to
advanced analysis in the critical disease diagnosis process. There has been massive …

Tuberculosis (TB) is the deadliest, communicable disease and can nearly affect all the parts
of our body. To diagnose this disease, there are various tests available such as chest X-rays …