Medical imaging analysis with artificial neural networks

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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. (https://doi.org/10.1016/j.compmedimag.2010.07.003)

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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.

ORCID iDs

Jiang, J., Trundle, P. and Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194;
CORE (COnnecting REpositories)