Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …

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 …

A reported 96,480 people were diagnosed with melanoma in the United States in 2019,
leading to 7230 reported deaths. Early-stage identification of suspicious pigmented lesions …

Melanoma, most threatening type of skin cancer, is on the rise. In this paper an
implementation of a deep-learning system on a computer server, equipped with graphic …

We develop a novel method for classifying melanocytic tumors as benign or malignant by
the analysis of digital dermoscopy images. The algorithm follows three steps: first, lesions …

Background and objectives Because skin cancer affects millions of people worldwide,
computational methods for the segmentation of pigmented skin lesions in images have been …

Melanoma is the most aggressive form of skin cancer and is on rise. There exists a research
trend for computerized analysis of suspicious skin lesions for malignancy using images …

Skin cancer is considered as one of the most common types of cancer in several countries,
and its incidence rate has increased in recent years. Melanoma cases have caused an …

This chapter proposes a novel hierarchical classification system based on the K-Nearest
Neighbors (K-NN) model and its application to non-melanoma skin lesion classification …

As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV)
and may grow on all parts of body, especially hands and feet. There are several treatment …