Skin cancer is one of the most common types of cancer worldwide. Over the past few years,
different approaches have been proposed to deal with automated skin cancer detection …

Skin cancer is a major public health problem around the world. Its early detection is very
important to increase patient prognostics. However, the lack of qualified professionals and …

Skin cancer is one of the most common forms of cancer, which makes it pertinent to be able
to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and …

Machine learning (ML) can enhance a dermatologist's work, from diagnosis to customized
care. The development of ML algorithms in dermatology has been supported lately …

Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …

Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …

Skin lesions are organized in a hierarchical way, which is taken into account by
dermatologists when diagnosing them. However, automatic systems do not make use of this …

Skin diseases have become a challenge in medical diagnosis due to visual similarities.
Although melanoma is the best-known type of skin cancer, there are other pathologies that …

Background: The conventional procedure of skin-related disease detection is a visual
inspection by a dermatologist or a primary care clinician, using a dermatoscope. The …

Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …