Melanoma is considered as one of the fatal cancer in the world, this form of skin cancer may
spread to other parts of the body in case that it has not been diagnosed in an early stage …

Multilevel-thresholding is an efficient method used in image segmentation. This paper
presents a hybrid meta-heuristic approach for multi-level thresholding image segmentation …

The complex feature characteristics and low contrast of cancer lesions, a high degree of
inter-class resemblance between malignant and benign lesions, and the presence of …

We introduce a new method that combines a constrained term and level set method for the
automated segmentation of medical image. There are two types of constrained terms, fully …

Lung cancer is the uncontrolled growth of cells in the lung that are made up of two spongy
organs located in the chest. These cells may penetrate outside the lungs in a process called …

Recent years evidenced an increase in the total number of skin cancer cases, and it is
projected to grow exponentially. This paper proposes a computer-aided diagnosis system …

Image segmentation is an indispensable part of computer vision applications, and image
thresholding is a popular one due to its simplicity and robustness. Generalised Masi entropy …

In recent years, skin cancer has been recognized as the most dangerous and common type
of cancer in humans. Melanoma is a common skin cancer, and the diagnosis of melanoma …

Image segmentation has been an active topic of research for many years. Edges
characterize boundaries, and therefore, detection of edges is a problem of fundamental …

Clustering is a commonly employed approach to image segmentation. To overcome the
problems of conventional algorithms such as getting trapped in local optima, in this paper …