Melanoma and non-melanoma skin cancers have shown a rapidly increasing incidence rate,
pointing to skin cancer as a major problem for public health. When analyzing these lesions …

Skin cancer has become a public health problem due to its increasing incidence. However,
the malignancy risk of the lesions can be reduced if diagnosed at an early stage. To do so, it …

When analyzing dermoscopic images, the hairs and their shadows on the skin may occlude
relevant information about the lesion at the time of diagnosis. As far as we know, there is no …

Computer-extracted texture features are relevant to diagnose cutaneous lesions such as
melanomas. Our goal is to set a relationship between a well-established descriptive terminology…

Alzheimer's disease (AD) and Parkinson's disease (PD) are two common, progressive
neurodegenerative brain disorders. Their diagnosis is very challenging at an early disease stage, …

The process of removing occluding hair has a relevant role in the early and accurate diagnosis
of skin cancer. It consists of detecting hairs and restore the texture below them, which is …

The morphological analysis of dendritic spines is an important challenge for the neuroscientific
community. Most state-of-the-art techniques rely on user-supervised algorithms to …

Automatic segmentation of organs and regions in medical imaging is a valuable tool for
specialists. This study explores various automatic methods for lung segmentation in X-ray images…

In this paper we present computational methods to detect the symmetry in dermoscopic
images of skin lesions. Skin lesions are assessed by dermatologists based on a number of …

Background: As available medical image datasets increase in size, it becomes infeasible for
clinicians to review content manually for knowledge extraction. The objective of this study …