Jiang, J. and Trundle, P. and Ren, Jinchang (2010) Medical imaging analysis with artificial neural networks. Computerized Medical Imaging and Graphics, 34 (8). pp. 617-631.
Medical_Imaging_ANN_v1.pdf - Draft Version
Download (648kB) | Preview
Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection towards visual content analysis, and medical image registration for its pre-processing and post-processing, with the aims of increasing awareness of how neural networks can be applied to these areas and to provide a foundation for further research and practical development. Representative techniques and algorithms are explained in detail to provide inspiring examples illustrating: (i) how a known neural network with fixed structure and training procedure could be applied to resolve a medical imaging problem; (ii) how medical images could be analysed, processed, and characterised by neural networks; and (iii) how neural networks could be expanded further to resolve problems relevant to medical imaging. In the concluding section, a highlight of comparisons among many neural network applications is included to provide a global view on computational intelligence with neural networks in medical imaging.
|Keywords:||medical imaging analysis, neural networks, intelligent computing, Electronic computers. Computer science, Public aspects of medicine, Health Informatics, Radiology Nuclear Medicine and imaging, Radiological and Ultrasound Technology, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition|
|Subjects:||Science > Mathematics > Electronic computers. Computer science
Medicine > Public aspects of medicine
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||16 Mar 2011 13:48|
|Last modified:||15 Apr 2015 08:42|
Actions (login required)