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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 :
NameEmailORCID
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Trundle, PUNSPECIFIEDUNSPECIFIED
Ren, JUNSPECIFIEDUNSPECIFIED
Date : December 2010
Identification Number : https://doi.org/10.1016/j.compmedimag.2010.07.003
Uncontrolled Keywords : Diagnostic Imaging, Image Interpretation, Computer-Assisted, Neural Networks (Computer), Review Literature as Topic
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:24
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835193

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