Membrane computing is a well-known research area in computer science inspired by the
organization and behavior of live cells and tissues. Their computational devices, called P …

Pathologies that occur on or near the fovea, such as clinically significant macular edema
(CSME), represent high risk for vision loss. The presence of exudates, lipid residues of …

This paper presents a fully automatic parallel software for the localization of the optic disc
(OD) in retinal fundus color images. A new method has been implemented with the Graphics …

The paper proposes an open-source, maintainable system for detecting human activity in
video datasets using scalable hardware architectures. The system is validated by detecting …

There is a growing need for developing fast and scalable methods for storing and
processing large databases of healthcare images and videos. The paper reviews current …

This paper presents an efficient technique for real-time recognition of human activities using
accelerometer signals alone. It is based on amplitude modulation frequency modulation (AM …

In this paper we present a robust and improved system for diabetic retinopathy (DR)
screening. The goal of the system is to automatically screen out digital fundus photographs …

In this paper, we present a bio-inspired parallel implementation of a solution of the problem
of looking for the representative geometrical objects of the homology groups in a binary 2D …

The Discrete Periodic Radon Transform (DPRT) has many important applications in
reconstructing images from their projections and has recently been used in fast and scalable …

AM-FM decomposition techniques have been successfully used for extracting significative
features from a large variety of signals, helping realtime signal monitoring and pattern …