支持向量机
人工智能
计算机科学
核(代数)
模式识别(心理学)
磁共振成像
实时核磁共振成像
小波
上下文图像分类
医学影像学
转化(遗传学)
图像检索
计算机视觉
特征(语言学)
领域(数学)
特征提取
离散小波变换
小波变换
图像(数学)
放射科
医学
数学
基因
组合数学
哲学
生物化学
语言学
化学
纯数学
作者
Mohd Fauzi Othman,Nusratuddin Abdullah,Nurul Fazrena Kamal
标识
DOI:10.1109/icmsao.2011.5775605
摘要
The field of medical imaging gains its importance with increase in the need of automated and efficient diagnosis in a short period of time. Other than that, medical image retrieval system is to provide a tool for radiologists to retrieve the images similar to query image in content. Magnetic resonance imaging (MRI) is an imaging technique that has played an important role in neuroscience research for studying brain images. Classification is an important part in retrieval system in order to distinguish between normal patients and those who have the possibility of having abnormalities or tumor. In this paper, we have obtained the feature related to MRI images using discrete wavelet transformation. An advanced kernel based techniques such as Support Vector Machine (SVM) for the classification of volume of MRI data as normal and abnormal will be deployed.
科研通智能强力驱动
Strongly Powered by AbleSci AI