Medical image analysis with artificial neural networks.

Jiang, J, Trundle, P and Ren, J (2010) Medical image analysis with artificial neural networks. Comput Med Imaging Graph, 34 (8). pp. 617-631.

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Abstract

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.

Item Type:	Article
Authors :	Name Email ORCID Jiang, J jianmin.jiang@surrey.ac.uk Trundle, P Ren, J
Date :	December 2010
DOI :	10.1016/j.compmedimag.2010.07.003
Uncontrolled Keywords :	Diagnostic Imaging, Image Interpretation, Computer-Assisted, Neural Networks (Computer), Review Literature as Topic
Related URLs :	Author
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:24
Last Modified :	16 Jan 2019 18:30
URI:	http://epubs.surrey.ac.uk/id/eprint/835193

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