The incidence of melanoma is increasing rapidly. This cancer has a good prognosis if
detected early. For this reason, various systems of skin lesion image analysis, which support …

Recent advances in artificial intelligence (AI) in dermatology have demonstrated the
potential to improve the accuracy of skin cancer detection. These capabilities may augment …

In this chapter a software system for the automated detection of melanoma over
dermoscopic images is presented. The analysis is carried out by supporting in the “ABCD …

Skin cancer, previously known to be a common disease in Western countries, is becoming
more common in Asian countries. Skin cancer differs from other carcinomas in that it is …

The field of skin cancer detection offers a compelling use case for the application of artificial
intelligence (AI) within the realm of image-based diagnostic medicine. Through the analysis …

Background The use of artificial intelligence (AI) for skin cancer assessment has been an
emerging topic in dermatology. Leadership of dermatologists is necessary in defining how …

In this paper we present an accelerated system for diagnosing skin lesions based on
digitized dermatoscopic color images. This system is composed mainly of three levels …

Purpose To review recent developments in artificial intelligence for skin cancer diagnosis.
Recent Findings Major breakthroughs in recent years are likely related to advancements in …

Malignant melanomas are the most deadly type of skin cancers. Early diagnosis is a key for
successful treatment and survival. The paper presents the system for supporting the process …

Skin cancer is defined as the rapid growth of skin cells due to DNA damage that cannot be
repaired. Melanoma is one of the deadliest types of skin cancer, which originates from …