DocumentCode :
1784977
Title :
Deploying swarm intelligence in medical imaging
Author :
Majid Al-Rifaie, Mohammad ; Aber, Ahmed ; Sayers, Robert ; Choke, Edward ; Bown, Mathew
Author_Institution :
Dept. of Comput., Univ. of London, London, UK
fYear :
2014
fDate :
2-5 Nov. 2014
Firstpage :
14
Lastpage :
21
Abstract :
This paper introduces a novel approach in using a swarm intelligence algorithm - Stochastic Diffusion Search - in medical imaging. After summarising the results of some previous work - showing how the algorithm assists the identification of metastasis in bone scans and microcalcifications on the mammographs - for the first time, the use of the algorithm in assessing the CT images of aorta is demonstrated along with its performance in detecting the nasogastric tube in chest X-ray. The swarm intelligence algorithm presented in this paper is adapted to address these particular tasks and its functionality is investigated by running the swarms on sample CT images and X-rays whose status have been determined by two senior radiologists.
Keywords :
bone; computerised tomography; diagnostic radiography; mammography; medical image processing; stochastic processes; swarm intelligence; CT images; aorta; bone scans; chest X-ray; mammographs; medical imaging; metastasis identification; microcalcifications; nasogastric tube; stochastic diffusion search; swarm intelligence algorithm; swarm intelligence deployment; Biomedical imaging; Bones; Electron tubes; Metastasis; Particle swarm optimization; Sociology; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
Type :
conf
DOI :
10.1109/BIBM.2014.6999242
Filename :
6999242
Link To Document :
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