According to Skin Cancer Foundation, skin cancer is by far the most common type of cancer
in the United States and worldwide. Early diagnosis of skin cancer is critical because proper …

In the last few years, Deep Learning (DL) has been showing superior performance in
different modalities of bio-medical image analysis. Several DL architectures have been …

Cancer is one of the most severe forms of disease that adversely threaten human life in
recent years. Considering different categories of cancer, skin cancer seems to be a high risk …

Generally, skin cancer occurs due to anomalous growth of cells in human skin due to the
activation of mutation by unusual Deoxyribonucleic Acid (DNA) damages. The survival rate …

Skin cancer is the most common type of cancer that affects humans and is usually
diagnosed by initial clinical screening, which is followed by dermoscopic analysis …

Skin lesion analysis is a tedious and challenging task, thus, in this research the suitability of
employing machine learning or deep learning approaches for automatic lesion …

Human skin acts as an important barrier that protects the proper functioning of the body's
circulatory system. According to surveys in the last 30 years, the number of people affected …

For dermatoscopic skin lesion images, deep learning-based algorithms, particularly
convolutional neural networks (CNN), have demonstrated good classification and …

Skin cancer is a very dangerous type of cancer which can spread in other organs if not
detected early. Skin Melanoma is a type of cancer where melanocytes mutate rapidly. It is …

This study introduces a novel deep learning-based approach for skin cancer diagnosis and
treatment planning to overcome existing limitations. The proposed system employs a series …