In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …

Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …

OBJECTIVE: Computerized analysis of pigmented skin lesions (PSLs) is an active area of
research that dates back over 25years. One of its main goals is to develop reliable automatic …

Dermoscopy is a technique used to capture the images of skin, and these images are useful
to analyze the different types of skin diseases. Malignant melanoma is a kind of skin cancer …

With the popularity of artificial intelligence (AI) and its integration into every field, it has
yielded positive results that have increased productivity and aided us in solving complex …

This paper provides a critical review of the literature on deep learning applications in breast
tumor diagnosis using ultrasound and mammography images. It also summarizes recent …

In this research, we undertake intelligent skin cancer diagnosis based on dermoscopic
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …

In this paper, a survey has been made on the applications of intelligent computing
techniques for diagnostic sciences in biomedical image classification. Several state-of-the …

Deep learning techniques have achieved superior performance in computer-aided medical
image analysis, yet they are still vulnerable to imperceptible adversarial attacks, resulting in …

Out of the three basic types of skin cancer, namely, Basal Cell Carcinoma (BCC), Squamous
Cell Carcinoma (SCC) and Melanoma, Melanoma is the most dangerous in which survival …