Melanoma is the fastest growing and most lethal cancer among all forms of skin cancer.
Deep learning methods, mainly convolutional neural networks (CNNs) have recently …

Automatic melanoma detection from dermoscopic skin samples is a very challenging task.
However, using a deep learning approach as a machine vision tool can overcome some …

Skin cancer is considered one of the most dangerous and popular sorts of cancer. The
deadliest form of this type of cancer is called melanoma, it happens while pigmented cells …

Skin lesions are a severe disease globally. Early detection of melanoma in dermoscopy
images significantly increases the survival rate. However, the accurate recognition of …

Background Melanoma has become more widespread over the past 30 years and early
detection is a major factor in reducing mortality rates associated with this type of skin cancer …

Melanoma is the most aggressive type of skin cancer, which significantly reduces the life
expectancy. Early detection of melanoma can reduce the morbidity and mortality associated …

Skin cancer is a major public health problem with over 123,000 newly diagnosed cases
worldwide in every year. Melanoma is the deadliest form of skin cancer, responsible for over …

Melanoma is one of the most dangerous types of skin cancer that its early detection can
save patients' lives. Computer‐aided methods can be used for this early detection with …

 Abstract—Melanoma is a common type of cancer that affects a significant number of
people. Recently, deep learning techniques have been shown to be highly accurate in …

Melanoma is easily detectable by visual examination since it occurs on the skin's surface. In
melanomas, which are the most severe types of skin cancer, the cells that make melanin are …