In the aim of providing sophisticated applications and getting benefits from the advantageous properties of agents, designing agent-based and multi-agent systems has become an important issue that received further consideration from many application domains. Towards the same goal, this work gathered three different research fields; image segmentation, fuzzy clustering and multi-agent systems (M...

In this paper, a wireless sensing system is designed to realize on-line damage localization and quantification of a structure using a frequency response function change method (FRFCM). Data interrogation algorithms are embedded in the computational core of the wireless sensing units to extract the necessary structural features, i.e. the frequency spectrum segments around eigenfrequencies, autom...

The main purpose of identifying and locating the retina vessels is to specify from fundus image various tissues vascular structure, which can be wide or tight. classification in retinal often confronts several challenges, such as low contrast accompanying image, inhomogeneity background lighting, noise. Moreover, fuzzy c-means (FCM) one most frequently used algorithms for medical segmentation d...

Gastric cancer is the third-most-common cause of cancer-related deaths in world. Fortunately, it can be detected using endoscopy equipment. Computer-aided diagnosis (CADx) systems help clinicians identify from gastric diseases more accurately. In this paper, we present a CADx system that distinguishes and classifies pre-cancerous conditions, such as polyps, ulcers, gastritis, bleeding. The uses...

Motivation: Deep profiling the phenotypic landscape of tissues using high-throughput flow cytometry (FCM) can provide important new insights into the interplay of cells in both healthy and diseased tissue. But often, especially in clinical settings, the cytometer cannot measure all the desired markers in a single aliquot. In these cases, tissue is separated into independently analysed samples, ...

Lung cancer is among the deadly diseases affecting millions globally every year. Physicians' and radiologists' manual detection of lung nodules has low efficiency due to variety shapes nodule locations. The paper aims recognize in computerized tomography (CT) images utilizing a hybrid method reduce problem space at step. First, suggested uses fast robust fuzzy c-means clustering (FRFCM) algorit...