Human skin diseases have become increasingly prevalent in recent decades, with millions
of individuals in developed countries experiencing monkeypox. Such conditions often carry …

Machine learning algorithms are being used widely in biomedical fields for segmentation
and diagnosis. These algorithms use features derived from images as input to make a …

Objective: Skin diseases are a major global health problem associated with high number of
people. With the rapid development of technologies and the application of various data …

Skin cancer is a major health issue in the present day especially melanoma skin cancer. In
general most of the skin cancers are cured if they are detectedin the early stage. With the …

Abstract Objective and Impact Statement. There is a need to develop high-performance and
low-cost data augmentation strategies for intelligent skin cancer screening devices that can …

In today's modern world, Skin cancer is the most common cause of death amongst humans.
Skin cancer is abnormal growth of skin cells most often develops on body exposed to the …

The prognosis for patients with skin cancer improves with regular screening and checkups.
Unfortunately, many people with skin cancer do not receive a diagnosis until the disease …

Nowadays, skin disease is a major problem among peoples worldwide. Different machine
learning techniques are applied to predict the various classes of skin disease. In this …

Background Skin disease is a major problem among people worldwide. Different machine
learning techniques can be applied to identify classes of skin disease. Herein, we have …

The healthcare sector is the highest priority sector, and people demand the highest services
and care. The fast rise of deep learning, particularly in clinical decision support tools, has …