title: Medical image analysis with artificial neural networks.
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.
authors: Digital Media & Systems Research Institute, University of Bradford, Richmond Road, Bradford, West Yorkshire, United Kingdom. j.jiang@bradford.ac.uk
authors: J
authors: J
authors: Jiang
authors: P
authors: P
authors: Trundle
authors: J
authors: J
authors: Ren
mesh_terms: D003952:Diagnostic Imaging; D007090:Image Interpretation, Computer-Assisted; D016571:Neural Networks, Computer; D012196:Review Literature as Topic