Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in develo** computer-aided diagnosis …

Dermoscopy image analysis (DIA) is a growing field, with works being published every
week. This makes it difficult not only to keep track of all the contributions, but also for new …

Melanoma is easily detectable by visual examination since it occurs on the skin's surface. In
melanomas, which are the most severe types of skin cancer, the cells that make melanin are …

The purpose of feature selection (FS) is to eliminate redundant and irrelevant features and
leave useful features for classification, which can not only reduce the cost of classification …

The Scientific community has been develo** computer-aided detection systems (CADs)
for automatic diagnosis of pigmented skin lesions (PSLs) for nearly 30 years. Several works …

Lesion segmentation is the first step in most automatic melanoma recognition systems.
Deficiencies and difficulties in dermoscopic images such as color inconstancy, hair …

There has been an alarming increase in the number of skin cancer cases worldwide in
recent years, which has raised interest in computational systems for automatic diagnosis to …

Tissue analysis using histopathological images is the most prevailing as well as a
challenging task in the treatment of cancer. The clinical assessment of tissues becomes very …

Malignant melanoma is the deadliest form of skin cancer, but can be more readily treated
successfully if detected in its early stages. Due to the increasing incidence of melanoma …

Melanoma is a fatal form of skin cancer, which causes excess skin cell growth in the body.
The objective of this work is to develop a two-tier hybrid dual convolution neural network (2 …