During the last decades, the healthcare area has increasingly relied on medical imaging for
the diagnosis of a growing number of pathologies. The different types of medical images are …

According to functional or anatomical modalities, medical imaging provides a visual
representation of complex structures or activities in the human body. One of the most …

With the rapid development of artificial intelligence (AI) technology and its successful
application in various fields, modeling and simulation technology, especially multi-agent …

Medical image segmentation is a difficult task, essentially due to the inherent complexity of
human body structures and the acquisition methods of this kind of images. Manual …

Several multi-agent approaches have been proposed to improve image processing. They
use several image processing algorithms simultaneously. However, these approaches do …

Brain tumor segmentation from 2D Magnetic Resonance Images (MRI) is an important task
for several applications in the field of medical analysis. Commonly, this task is performed …

Acigna-G is a new Grid Computing platform we propose, for hosting and interacting with
GNU/Linux Grid applications through a web portal, without or with a minimal API use. It aims …

Los sistemas de procesamiento de imágenes digitales constituyen actualmente una
herramienta casi indispensable en la práctica de la medicina moderna. Los sistemas de …

Brain activity recognition research has been a challenging area for many decades since
Hans Berger described electroencephalogram (EEG) in 1929. Many previous researches …

The gray level change between any two regions is described as an edge. This change is
spread out among a lot of pixels. There are algorithms which can be used to detect edges …