The aim of this special issue is explore the utilisation of medical, ultrasonic and X-ray imaging for pattern recognition, feature extraction and the classification of such signals and images. The key aim of the issue is to target application-oriented research in the field of biomedical signal and Imaging. It is not however limited to the aforementioned images, but will also cover inferred images for other medical applications. In addition, high-resolution satellite images can also be included in the context of extracting information by utilising imaging and AI methods.
Signal and image processing techniques, along with artificial intelligence, need to be researched to aid the development of medical imaging/satellite imaging for feature extraction and classification which provides more detailed diagnosis systems, preoperational knowledge and easier handling of medical and satellite data.
Suitable topics include, but are not limited to, the following:
- X-ray/ultrasonic/MRI imaging techniques
- Manifold learning
- Deep learning models
- Gram-Schmidt method
- Depth stereo-electroencephalography signals of partial epilepsies
- Meta-heuristic optimisation algorithms
- Machine learning methods
- Cascade neural networks
- Median-cut algorithm
- Bayesian belief networks
- Infrared imaging
- Satellite imaging
- Discrete wavelet transform
- Curvelet transform
- Harmony search (HS) algorithm
- DNA fragment
Important Dates
Submission of manuscripts: 31 October, 2016
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