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| Content Provider | IET Digital Library |
|---|---|
| Author | Rifaie, Mohammad Majid al Aber, Ahmed Hemanth, Duraiswamy Jude |
| Abstract | This study proposes an umbrella deployment of swarm intelligence algorithm, such as stochastic diffusion search for medical imaging applications. After summarising the results of some previous works which shows how the algorithm assists in the identification of metastasis in bone scans and microcalcifications on mammographs, for the first time, the use of the algorithm in assessing the CT images of the aorta is demonstrated along with its performance in detecting the nasogastric tube in chest X-ray. The swarm intelligence algorithm presented in this study 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 senior radiologists. In addition, a hybrid swarm intelligence-learning vector quantisation (LVQ) approach is proposed in the context of magnetic resonance (MR) brain image segmentation. The particle swarm optimisation is used to train the LVQ which eliminates the iteration-dependent nature of LVQ. The proposed methodology is used to detect the tumour regions in the abnormal MR brain images. |
| Starting Page | 234 |
| Ending Page | 244 |
| Page Count | 11 |
| ISSN | 17518849 |
| Volume Number | 9 |
| e-ISSN | 17518857 |
| Issue Number | Issue 6, Dec (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-syb/9/6 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-syb.2015.0036 |
| Journal | IET Systems Biology |
| Publisher Date | 2015-12-01 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Abnormal MR Brain Imaging Aorta Artificial Intelligence Biology And Medical Computing Biomedical Imaging/measurement Biomedical Magnetic Resonance Imaging Biomedical MRI Biophysics of Neurophysiological Processes Bone Bone Scans Brain Chest X-ray Computer Vision And Image Processing Technique Computerised Tomography CT Imaging Diagnostic Radiography Diseases Hybrid Swarm Intelligence-learning Vector Quantisation Approach Image Segmentation Interpolation And Function Approximation Iteration-dependent Nature Iterative Method Knowledge Engineering Technique Learning in AI Magnetic Resonance Brain Image Segmentation MammoGraph Medical Disorders Medical Image Processing Medical Imaging Identifying Metastasis Medical Magnetic Resonance Imaging And Spectroscopy Metastasis Identification Microcalcifications Nasogastric Tube Neurophysiology Numerical Analysis Numerical Approximation And Analysis Optical, Image And Video Signal Processing Optimisation Technique Particle Swarm Optimisation Patient Diagnostic Method And Instrumentation Radiography And Computed Tomography Spectroscopy Stochastic Diffusion Swarm Intelligence Tumour Region Tumours Umbrella Deployment X-Ray Technique X-Rays And Particle Beam |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cell Biology Genetics Molecular Biology Modeling and Simulation Biotechnology |
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