基于遗传算法的医学图像可疑区域检测

S. Janardhana, J. Jaya, K. J. Sabareesaan, Jaina George, D. Yokeshwaran
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引用次数: 1

摘要

医学图像分析与处理在医学领域,特别是在无创治疗和临床研究中具有重要意义。它可以帮助医生可视化和分析图像,以了解内部结构的异常。这个建议的技术包括四个阶段。第一阶段利用MATLAB对MRI图像进行采集。在第二阶段进行了预处理。这张预处理的MRI脑图像被归一化和增强以达到计算一致性。第三级用合适的滤波器去除高频噪声成分。第四阶段采用有效的遗传算法对肿瘤部分进行分割,并进行性能分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of suspicious region in medical images by Genetic Algorithm
Medical image analysis and processing has great significance in the field of medicine, especially in non-invasive treatment and clinical study. It helps the doctors to visualize and analyze the image for understand abnormalities in internal structures. This proposed technique consists of four stages. In first stage MRI image is acquired by using MATLAB. In the second stage preprocessing has been done. This pre-processed MRI brain image is normalized and enhanced to achieve computational consistency. In the third stage high frequency noise components are removed by suitable filters. In fourth stage the tumor part has been segmented using effective Genetic Algorithm and the performance analysis has been made.
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