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An Improved Image Segmentation System: A Cooperative Multi-agent Strategy for 2D/3D Medical Images

Hanane Allioui, Mohamed Sadgal, Aziz El Fazziki
2020 Journal of Communications Software and Systems  
In this paper, we present a solution-based cooperation approach for strengthening the image segmentation.This paper proposes a cooperative method relying on Multi-Agent System.  ...  The main difference is that our Multi-Agent System can perform the segmentation process ensuring efficiency. Our results show that the performance indices in the system were higher.  ...  of generalized solution, they just solve a specific situation. indeed, our approach aims to perform segmentation using a Multi-Agent System that operates two different methods in a cooperative way to have  ... 
doi:10.24138/jcomss.v16i2.830 fatcat:y26emam3yffrxblavwe2pd677m

Kidney Segmentation in Scintigraphic Sequences Data using Multi-Agent Approach

Yassine ARIBI, Ali WALI
2019 Applied Medical Informatics  
Methods: We integrated an agent model based on a spatiotemporal descriptor for the points of interest detection and Fast Marching Method used for kidney segmentation and tracking in scintigraphic sequences  ...  Results: Our system was applied experimentally on synthetic sequences then on real scintigraphic sequences for the segmentation of the two kidneys.  ...  Data using Multi-Agent Approach[  ... 
doaj:992722c22eef4682ab50dcff697fcc68 fatcat:acii3qkkjbf4nmpuvzl6kircv4

Segmentation of Medical Image Sequence by Parallel Active Contour [chapter]

Abdelkader Fekir, Nacéra Benamrane
2011 Advances in Experimental Medicine and Biology  
This paper presents an original approach for detecting and tracking of objects in medical image sequence.  ...  We propose a multi-agent system (MAS) based on NetLogo platform for implementing parametric contour active model or snake.  ...  Multi-Agent System Our MAS is implemented using the NetLogo platform. We used three types of NetLogo agents: observer, turtles, and patches.  ... 
doi:10.1007/978-1-4419-7046-6_52 pmid:21431592 fatcat:772pb5ut55bv5jd3yhqhildoai

An Adaptative Multi-agent System Approach for Image Segmentation

Redjimi Mohammed, Amri Said
2012 International Journal of Computer Applications  
This article presents a multi-agent approach for the segmentation of images.  ...  A multi-agent system (MAS) is a distributed system consisting of a set of agents that interact with themselves in an environment they are able to perceive and on which they can act.  ...  [17] [18] propose a method for medical image segmentation which uses the properties of agent in a MAS environment. The original image is partitioned into a set of sub-images.  ... 
doi:10.5120/8095-1676 fatcat:z7apvrhv3zayzkswkliii5m7qe

Using MAS to Detect Retinal Blood Vessels [chapter]

Carla Pereira, Jason Mahdjoub, Zahia Guessoum, Luís Gonçalves, Manuel Ferreira
2012 Advances in Intelligent and Soft Computing  
The segmentation of retinal vasculature by color fundus images analysis is crucial for several medical diagnostic systems, such as the diabetic retinopathy early diagnosis.  ...  This multi-agent approach is preceded by a preprocessing phase in which the fundamental filter is an improved version of the Kirsch derivative.  ...  A multi-agent system (MAS) is thus proposed as a solution since agents allow the cohabitation of several algorithms.  ... 
doi:10.1007/978-3-642-28762-6_29 dblp:conf/paams/PereiraMGGF12 fatcat:xycediwgsndutexrnflemqeacu

3D Multi-Object Segmentation of Cardiac MSCT Imaging by using a Multi-Agent Approach

Julien Fleureau, Mireille Garreau, Dominique Boulmier, Alfredo Hernandez
2007 IEEE Engineering in Medicine and Biology Society. Conference Proceedings  
The multi-agent system is organised around a communicating agent which manages a population of situated agents which segment the image through cooperative and competitive interactions.  ...  The proposed approach makes use of a multi-agent scheme combined with a supervised classification methodology allowing the introduction of a priori information and presenting fast computing times.  ...  A MULTI-AGENT SYSTEM The proposed Multi-Agent System (MAS) performs object segmentation in a 3D image, based on a first step in which the user selects interactively one or more seed points for each object  ... 
doi:10.1109/iembs.2007.4353716 pmid:18003382 pmcid:PMC2117716 fatcat:cvdlnely6jcb5bme35x7kdqpom

A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation

Hanane Allioui, Mazin Abed Mohammed, Narjes Benameur, Belal Al-Khateeb, Karrar Hameed Abdulkareem, Begonya Garcia-Zapirain, Robertas Damaševičius, Rytis Maskeliūnas
2022 Journal of Personalized Medicine  
Hence, we introduce a new mask extraction method that is based on multi-agent deep reinforcement learning (DRL) to minimize the long-term manual mask extraction and to enhance medical image segmentation  ...  The use of cooperative agents in mask extraction increases the efficiency of automatic image segmentation.  ...  Thus, we propose a novel real-time segmentation system utilizing our key multi-agent system Reinforcement learning in a cooperative way to detect and generate the mask of an object in an image, extract  ... 
doi:10.3390/jpm12020309 pmid:35207796 pmcid:PMC8880720 fatcat:3j4sievstjhtnlpnujxf3nftnm

Front Matter: Volume 10578

Barjor Gimi, Andrzej Krol
2018 Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging  
, Cancer, Imaging Agents, and Bone and Musculoskeletal.  ...  The diverse sessions included MRI and fMRI, Keynote and Emerging Trends, Neurological Imaging, Cardiovascular Imaging, Novel Imaging Techniques and Applications, Innovations in Image Processing, Optical  ...  system for whole functional brain mapping in children POSTERS: NOVEL IMAGING TECHNIQUES AND APPLICATIONS 2E An EIT system for mobile medical diagnostics 10578 2F Uptake of L-maurocalcine in  ... 
doi:10.1117/12.2323952 fatcat:om4wezsn3vgr7mebecadzuy5ly

Efficient Model for Distributed Computing based on Smart Embedded Agent

Hassna Bensag, Mohamed Youssfi, Omar Bouattane
2017 International Journal of Advanced Computer Science and Applications  
To validate the proposed model, a case study was developed for medical image segmentation using Cardiac Magnetic Resonance Image (MRI).  ...  We propose then a new concept of distributed classification using multi-agent systems based on JADE and Raspberry PI 2 devices.  ...  BACKGROUND This section details selected methods, approaches and tools used in multi-agent system distributed in embedded devices. A.  ... 
doi:10.14569/ijacsa.2017.080214 fatcat:xkdwhr5scnbuvcd43bbbw6w6ey

Deep Segmentation and Registration in X-Ray Angiography Video [article]

Athanasios Vlontzos, Krystian Mikolajczyk
2018 arXiv   pre-print
We make use of noisy low level binary segmentation and optical flow to generate multi class annotations that are successively improved in a multistage segmentation approach.  ...  We propose a real-time segmentation method for these tasks, based on U-Net network trained in a Siamese architecture from automatically generated annotations.  ...  The images were acquired during stent placement using a General Electric Innova 2000 system and stored according to standard medical protocol in DICOM format.  ... 
arXiv:1805.06406v2 fatcat:ritgddt2kjhvha2dzg53ugbd7e

A robust multi-agent Negotiation for advanced Image Segmentation: Design and Implementation

Hanane Allioui, Mohamed Sadgal, Aziz El Fazziki
2019 Inteligencia Artificial  
This paper presents a method for segmenting 2D/3D images by merging regions and solving problems encountered during the process using a multi-agent system (MAS).  ...  We are using the strengths of MAS by opting for a compromise that satisfies segmentation by agents' acts.  ...  rate,  Total satisfaction rate Resolution by coalition Overview of the multi-agent proposed system An appropriate way to practice a cooperative game is to use the architecture of a multi-agent system  ... 
doi:10.4114/intartif.vol22iss64pp102-122 fatcat:hqvme2pgsbezhpwufemwygpawu

A Multi-Agents Architecture to Learn Vision Operators and their Parameters [article]

Issam Qaffou, Mohammed Sadgal, Abdelaziz Elfazziki
2012 arXiv   pre-print
In this paper we present a multi-agent architecture to learn the best operators to apply and their best parameters for a class of images.  ...  The Operator Agent constructs all possible combinations of operators and the Parameter Agent, the core of the architecture, adjusts the parameters of each combination by treating a large number of images  ...  use multi-agent systems.  ... 
arXiv:1207.2426v1 fatcat:pbqrpavwrzewdphhsu7msnbxry

Registration of retinal images by a MAS-ICP approach — A preliminary study

Carla Pereira, Nelson Martins, Luis Goncalves, Manuel Ferreira
2012 2012 IEEE 2nd Portuguese Meeting in Bioengineering (ENBENG)  
The segmentation of the vasculature is performed by a multi-agent system model.  ...  With this preliminary study, the novelty of integrating all these algorithms for image registration preceded by a multi-agents system for image edges detection seems to be efficient for temporal retinal  ...  A multi-agent system (MAS) is thus proposed as a solution since agents allow the cohabitation of several algorithms [5] As far as known, applying MAS to retinal images is a novelty.  ... 
doi:10.1109/enbeng.2012.6331357 fatcat:iwgsjlim6vdt7d5r5ojq7i75hm

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images [article]

Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala
2020 arXiv   pre-print
Dynamic contrast-enhanced magnetic resonance imaging (DCE- MRI) is a widely used multi-phase technique routinely used in clinical practice.  ...  80%) can preserve the dynamic information and performance of the segmentation model, while effectively suppressing noise and unwanted portion of the images.  ...  For this purpose, a localized-segmentation approach that segments the input images at multiple scales was utilized.  ... 
arXiv:2010.00003v1 fatcat:fkmz2ebatnaormkponq2o6qjjy

A Medical Images Based Retrieval System Using Soft Computing Techniques

Pardeep Singh, Sanjay Sharma
2010 Zenodo  
In the medical field, images, and especially digital images, are produced in ever increasing quantities and used for diagnostics and therapy.  ...  New research directions are being defined that can prove to be useful. Still, there are very few systems that seem to be used in clinical practice.  ...  In a multi-agent system, problem solving is achieved through coordination of autonomous and possibly heterogeneous set of agents. D.  ... 
doi:10.5281/zenodo.1079569 fatcat:7xldz4bul5dsfeysevvyoenm3e
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