| 基于方向特征显著性计算的MRI脑图像肿瘤检测 |
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| 引用本文： | 蹇木伟,王瑞红,举雅琨,朱呈瞻,董军宇.基于方向特征显著性计算的MRI脑图像肿瘤检测[J].南京气象学院学报,2019,11(6):722-726. |
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| 作者姓名： | 蹇木伟 王瑞红 举雅琨 朱呈瞻 董军宇 |
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| 作者单位： | 山东财经大学 计算机科学与技术学院, 济南, 250014;中国海洋大学 信息科学与工程学院, 青岛, 266000,中国海洋大学 信息科学与工程学院, 青岛, 266000,中国海洋大学 信息科学与工程学院, 青岛, 266000,青岛大学附属医院/山东省数字医学与计算机辅助手术重点实验室, 青岛, 266000,中国海洋大学 信息科学与工程学院, 青岛, 266000 |
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| 基金项目： | 国家自然科学基金（61601427，61976123）；山东省科技计划（2016GSF201221）；泰山学者青年专家计划项目 |
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| 摘 要： | 本文提出了一种利用方向性特征进行显著性建模的MRI脑图像肿瘤自动检测算法.该模型首先将MRI脑图像进行预处理，去除掉图像中头骨区域的干扰；然后使用基于方向特征的显著性检测增加病变区域的对比度，实现更准确地提取肿瘤图像区域.本文算法在脑图像数据集上进行了大量的实验，并且与主流的肿瘤自动检测方法进行了对比，证明了本文算法的有效性，并为医生提供可靠的辅助诊断和临床参考.
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| 关 键 词： | 肿瘤检测 方向特征 显著性计算 显著性检测 |
| 收稿时间： | 2019/9/5 0:00:00 |
Tumor detection in brain imaging based on saliency computation of directional features |
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| JIAN Muwei,WANG Ruihong,JU Yakun,ZHU Chengzhan and DONG Junyu.Tumor detection in brain imaging based on saliency computation of directional features[J].Journal of Nanjing Institute of Meteorology,2019,11(6):722-726. |
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| Authors: | JIAN Muwei WANG Ruihong JU Yakun ZHU Chengzhan and DONG Junyu |
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| Institution: | School of Computer Science & Technology, Shandong University of Finance and Economics, Ji''nan 250014;College of Information Science and Engineering, Ocean University of China, Qingdao 266000,College of Information Science and Engineering, Ocean University of China, Qingdao 266000,College of Information Science and Engineering, Ocean University of China, Qingdao 266000,Shandong Key Laboratory of Digital Medicine and Computer Assisted Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266000 and College of Information Science and Engineering, Ocean University of China, Qingdao 266000 |
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| Abstract: | In this paper,an algorithm for detecting brain tumors in MRI images based on directional features and saliency modeling is proposed.The designed model first preprocesses the MRI brain images to remove the interference from the skull region of the image,and then uses saliency detection based on directional features to increase the contrast of the lesion region,so as to more accurately extract the region of the tumors.Extensive experiments have been carried out on the brain image dataset and compared with several other saliency detection methods,which proves the effectiveness of the algorithm and provides reliable auxiliary diagnosis and clinical reference for doctors. |
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| Keywords: | tumor detection directional features saliency computation saliency detection |
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