Medical imaging analysis with artificial neural networks

J. Jiang , P. Trundle, Jinchang Ren

Research output: Contribution to journalArticlepeer-review

249 Citations (Scopus)
267 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)617-631
Number of pages15
JournalComputerized Medical Imaging and Graphics
Issue number8
Publication statusPublished - Dec 2010


  • medical imaging analysis
  • neural networks
  • intelligent computing


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