Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Detecting dangerous illnesses connected to the skin organ, particularly malignancy,
requires the identification of pigmented skin lesions. Image detection techniques and …

Skin lesion classification has recently attracted significant attention. Regularly, physicians
take much time to analyze the skin lesions because of the high similarity between these skin …

Skin disease is one of the most common diseases. Due to the intricate categories of skin
diseases, their symptoms being very similar in the early stage, and the lesion samples being …

This paper presents the design and development of a multimodal engine for preemption and
post-treatment recommendations for skin diseases using a deep learning-based hybrid …

The prevalence of skin cancer has been increasing for the last few decades. Abnormal
growth of cells forms skin lesions, which if not treated at the earliest, may turn into cancer …

The conventional dermatology practice of performing noninvasive screening tests to detect
skin diseases is a source of escapable diagnostic inaccuracies. Literature suggests that …

With the increase in the number of cases every year, skin cancer stays as one of the most
common cancers worldwide. Although dermatologists have been aided with modern …

Skin cancer is the process of identifying and diagnosing, a disease in which abnormal skin
cells grow and spread uncontrollably. An innovative deep learning-based skin cancer …

The failure of skin disease detection at an early stage leads to causes of well-known cancer
known as melanoma, and it is created due to an assortment of dermatological conditions …