Skin cancer is quite common. Early detection is crucial for the treatment of skin cancer.
Methods based on computer technology (deep learning, image processing) are now …

Skin cancer image preprocessing in dermoscopic images is a fundamental yet challenging
task in designing highly efficient computerized diagnostic systems. The presence of hairlines …

Accurately determining and classifying different types of skin cancers is critical for early
diagnosis. In this work, we propose a novel use of deep learning for classification of benign …

The incidence of melanoma, the most serious form of skin cancer, has been increasing
rapidly in recent years. Early diagnosis is crucial for successful treatment. Dermoscopy, a …

Malignant tissue in the skin is highly harmful. As melanoma is of identical look and lacks
color variation, detection of skin cancer from dermatoscopic scans is a difficult task. The raw …

Background: Skin Cancer is on the rise and melanoma is the most threatening type among
the skin cancers. Early detection of skin cancer is vital to prevent the cancer from spreading …

Melanoma is one of the skin cancer types that is more dangerous to human society. It easily
spreads to other parts of the human body. An early diagnosis is necessary for a higher …

Skin cancer is one of the most dangerous cancers that may occur for different age groups of
people. As a result, early identification of skin cancer has the potential to save millions of …

Simple Summary Due to various causes, such as the thinning of the ozone layer, climate
change, or the fashion for artificial tanning, the incidence of skin cancer has increased …

Removing hair from digital dermoscopy images is occasionally a necessary step before
further analysis is applied to the images. This work considers two machine learning …