Metaheuristics are techniques that use approximate and intuitive strategies to quickly find
near-optimal solutions of complex optimization problems. A number of outstanding …

Objective We present a novel intensity-based algorithm for medical image registration (IR).
Methods and materials The IR problem is formulated as a continuous optimization task, and …

Image registration (IR) or image alignment is a fundamental step in medical image analysis
when multiple images are involved. In most of such applications, the registration is …

Infantile hemangiomas are the most common types of tumors that are found in infants and
have an incidence of approximately 10% in the common population. Although most infantile …

In this paper we propose a method for the automatic detection of hemangioma regions,
consisting of a cascade of algorithms: a Self Organizing Map (SOM) for clustering the image …

In this paper we compare the performances of three automatic methods of identifying
hemangioma regions in images: 1) unsupervised segmentation using the Otsu method, 2) …

Infantile hemangiomas (IH) are benign vascular tumors, most of them appearing in the first
weeks and developing until six months of age. The evaluation of the lesion size is usually …

Image registration (IR) is an extended and important problem in computer vision. It involves
the transformation of different sets of image data having a shared content into a common …

The advances in the field of remote sensing for Earth Observation allow many applications
like precision agriculture, forest monitoring, to name a few. Hyperspectral imaging is the …

Infantile hemangiomas are the most common types of tumors with an incidence of
approximately 10% in the common population. An accurate monitoring of the progress of …