The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …

Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …

An automatic method for the detection of Tuberculosis (TB) bacilli from microscopic sputum
smear images is presented in this paper. According to WHO, TB is the ninth leading cause of …

Tuberculosis (TB) is an infectious disease caused by the bacteria Mycobacterium
tuberculosis. It primarily affects the lungs, but it can also affect other parts of the body. TB …

Ziehl–Neelsen stained microscopy is a crucial bacteriological test for tuberculosis detection,
but its sensitivity is poor. According to the World Health Organization (WHO) …

Image segmentation applied to medical image analysis is still a critical and important task.
Although there exist several segmentation algorithms that have been widely studied in …

Tuberculosis (TB) has been included among the top ten leading causes of death worldwide.
Since 2008, several investigations have been developed by scientific community for …

The laboratory diagnosis of lung mycobacterioses including tuberculosis comprises the
microscopic examination of sputum smear after appropriate staining such as Ziehl-Neelsen …

Tuberculosis (TB) is one of the leading infectious causes of death worldwide. The effective
management and public health control of this disease depends on early detection and …

Tuberculosis (TB) is a deadly disease caused by a bacteria called Mycobacterium
tuberculosis that can affect lungs mostly. Besides it is a disease that affects not only lungs in …