Diabetic severe wounds are difficult to heal and regenerate, and are extremely challenging
to manage in clinical practice with common wound dressings. There is a need to develop …

Data augmentation involves artificially expanding a dataset by applying various
transformations to the existing data. Recent developments in deep learning have advanced …

Diabetic Retinopathy (DR) is a consequence of diabetes mellitus that results in damage to
the retina's blood vessel networks. It is now the major cause of irreversible blindness among …

Polycystic Ovary Syndrome (PCOS) is a complex hormonal disorder which is associated
with diverse symptoms such as irregular menstrual cycles, obesity, acne issues, hirsutism …

Cancer is a leading cause of death across the globe, in which lung cancer constitutes the
maximum mortality rate. Early diagnosis through computed tomography scan imaging helps …

Despite the successful demonstration of the deep learning architectures for Automatic
Colonoscopy Polyp Detection (ACPD), studies have argued upon human bias, and lack of …

Manual detection of colorectal polyps in the colonoscopy videos during diagnosis of
colorectal cancer can be challenging due to the large no. of sequential frames and high …

Abstract Non-Small Cell Lung Cancer is the most common type of lung cancer, accounting
for more than 80% of all cases. The analysis of histopathological images is the appropriate …

Lung cancer arises from the abnormal and uncontrolled reproduction of parenchymal cells.
Among all cancer cases, lung cancer is one of the prevailing types. Prevalence and death …

Computer-aided classification of diseases of the gastrointestinal tract (GIT) has become a
crucial area of research. Medical science and artificial intelligence have helped medical …