期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2017
卷号：9
期号：03
页码：75-82
出版社：Engg Journals Publications
摘要：Reliable and rapid diagnosis of diseases is required to handle health problems efficiently at an early stage. The best possible way to accomplish this is developing an imaging system to evaluate the problem and suggest remedial action for treatment. The major objective of medical image analysis will be supporting medical doctors in specific clinical applications requiring the visual assessment of medical images in order to evolve the objectivity and repeatability of analysis. The medical image analysis involves different phases of acquiring medical images from various medical datacenters, extract relevant features, feature dimension reduction and classification of medical images based on the optimal features. In this review paper, we tried to sum up all the existing feature dimension reduction techniques based on optimization algorithms and proposed a new method to optimize the solution space.
关键词：Imaging system; Feature Selection; Optimization Algorithm; Medical Images; Genetic Algorithm; Evolutionary Algorithm; Support Vector Machine; Teaching Learning based Optimization.
