The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …

Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …

This paper presents a novel methodology for skin cancer diagnosis based on deep learning
and metaheuristics. The method combines a multi-level optimal thresholding segmentation …

Skin Cancer is one of the most widespread forms of cancer in the world which can be
detected using dermatoscopic images. In this paper, a texture based feature extraction …

Convolutional neural network (CNN) models have been extensively applied to skin lesions
segmentation due to their information discrimination capabilities. However, CNNs' struggle …

Skin cancer is a pervasive and potentially life-threatening disease. Early detection plays a
crucial role in improving patient outcomes. Machine learning (ML) techniques, particularly …

Cancer is one of the most severe forms of disease that adversely threaten human life in
recent years. Considering different categories of cancer, skin cancer seems to be a high risk …

Skin cancer has become an important reason for human death in recent years. In the United
States alone, the disease affects roughly three million people annually. As the disease …

Melanoma is a dangerous form of skin cancer that results in the demise of patients at the
developed stage. Researchers have attempted to develop automated systems for the timely …

Automatic skin lesion segmentation is the most critical and relevant task in computer‐aided
skin cancer diagnosis. Methods based on convolutional neural networks (CNNs) are mainly …