Skin cancer affects people of all skin tones, including those with darker complexions.
Melanomas are known as malignant tumors of skin cancer, resulting in an adverse …

The significance of pattern recognition techniques is widely enhanced in image processing
and medical applications. Thus, lesion segmentation method is an essential technique of …

Melanoma is one of the deadliest form of skin cancer widely which affects human beings.
Due to its growing occurrence rates, it is essential to develop an assisting methodology to …

In recent years, computerized biomedical imaging and analysis have become extremely
promising, more interesting, and highly beneficial. They provide remarkable information in …

Melanoma is of the lethal and rare types of skin cancer. It is curable at an initial stage and
the patient can survive easily. It is very difficult to screen all skin lesion patients due to costly …

Out of the various types of skin cancers, melanoma is observed to be the most malignant
and fatal type. Early detection of melanoma increases the chances of survival which …

This paper optimizes a neural network classifier for detecting malignant melanoma, a type of
skin cancer. A popular metaheuristic algorithm, Particle Swarm Optimization (PSO) is used …

Introduction Melanoma has been increasing worldwide. An efficient method based on bio-
inspired algorithms and neural networks has been suggested in this study. Objective The …

In the present situation human health is a very important factor. With today's growing
technology, health conditions are deteriorating day by day. Malnutrition, lifestyle play a very …

Since from last decade, there is significant growth in the design of Computer-Aided
Diagnosis (CAD) Systems using image processing. There are different images processing …