| Literature DB >> 26740861 |
Zhenghao Shi1, Lifeng He2, Kenji Suzuki3, Tsuyoshi Nakamura4, Hidenori Itoh4.
Abstract
This paper aims to present a review of neural networks used in medical image processing. We classify neural networks by its processing goals and the nature of medical images. Main contributions, advantages, and drawbacks of the methods are mentioned in the paper. Problematic issues of neural network application for medical image processing and an outlook for the future research are also discussed. By this survey, we try to answer the following two important questions: (1) What are the major applications of neural networks in medical image processing now and in the nearby future? (2) What are the major strengths and weakness of applying neural networks for solving medical image processing tasks? We believe that this would be very helpful researchers who are involved in medical image processing with neural network techniques.Entities:
Keywords: CT; Computer-aided diagnosis; Diagnosis; Image registration; Image understanding; Magnetic resonance imaging; Neural network; Object recognition; Preprocessing; Radiographic image; image segmentation; medical image processing
Year: 2009 PMID: 26740861 PMCID: PMC4699299
Source DB: PubMed Journal: Int J Comput Sci ISSN: 1992-6669