Skin cancer is a significant health risk that requires early detection for effective treatment.
This paper discusses two automated techniques, Artificial Neural Network (ANN) and …

The advancement of artificial intelligence is reshaping various sectors of our lives including
disease identification. Today, dermatologists depend greatly on digitalized output of patients' …

Skin cancer is one of the most rapidly spreading illnesses in the world and because of the
limited resources available. Early detection of skin cancer is crucial accurate diagnosis of …

Skin cancer is an alarming disease for mankind. The necessity of early diagnosis of the skin
cancer have been increased because of the rapid growth rate of Melanoma skin cancer, itś …

Melanoma is the deadly form of skin cancer. The melanocyte serves as the cause for the
development of a malignant tumor on the skin. The dermatological photographs are used to …

Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-
repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or …

This work proposes a deep learning model for skin cancer detection from skin lesion
images. In this analytic study, from HAM10000 dermoscopy image database, 3400 images …

We live in a world where people are suffering from many diseases. Cancer is the most
threatening of them all. Among all the variants of cancer, skin cancer is spreading rapidly. It …

One of the deadliest diseases is skin cancer, especially melanoma. The high resemblance
between different skin lesions such as melanoma and nevus in the skin colour images …

Skin cancer is among the primary cancer types that manifest due to various dermatological
disorders, which may be further classified into several types based on morphological …