Medical image analysis with artificial neural networks

✍ Scribed by J. Jiang; P. Trundle; J. Ren

• Publisher: Elsevier Science
• Year: 2010
• Tongue: English
• Weight: 510 KB
• Volume: 34
• Category: Article
• ISSN: 0895-6111
• DOI: 10.1016/j.compmedimag.2010.07.003

✦ Synopsis

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.