...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Innovative Computing Information and Control >SEGMENTATION OF LUNGS IN HRCT SCAN IMAGES USING PARTICLE SWARM OPTIMIZATION
【24h】

SEGMENTATION OF LUNGS IN HRCT SCAN IMAGES USING PARTICLE SWARM OPTIMIZATION

机译：粒子群优化算法对HRCT扫描图像中的肿块进行分割

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A novel segmentation algorithm for lungs based on high-resolution computed tomography (HRCT) scan images is developed. This segmentation method is mainly derived from particle swam optimization (PSO) technique to select an appropriate threshold level for pixels-probability density function (P-PDF) that integrates morphological edge-detection technique to refine segmentation. A multi-level thresholding technique was proposed for CT slice segmentation by developing new control fitness function. After that morphological functions are utilized to get enhanced delineation of lungs from HRCT scan images. For computer-aided diagnostics (CADe) of lungs, this algorithm can be used as an initial step to improve the diagnostic performance of radiologists with an increase in sensitivity and decrease in false-positive (FP) rate. The system was tested on 120 HRCT scan images. This automatic thresholding method was compared with the other state-of-the-art techniques based on ground truth obtained from an expert radiologist. The experimental results indicate that the proposed method provides an effective segmentation solution with small errors, independent of CT scanners and independent from patient's low or high dose.
机译：开发了一种基于高分辨率计算机断层扫描（HRCT）扫描图像的新型肺分割算法。这种分割方法主要来自粒子游动优化（PSO）技术，为像素概率密度函数（P-PDF）选择合适的阈值水平，该阈值水平结合了形态学边缘检测技术以细化分割。通过开发新的控制适应度函数，提出了一种用于CT切片分割的多级阈值技术。之后，利用形态学功能从HRCT扫描图像中获得增强的肺部轮廓。对于肺部的计算机辅助诊断（CADe），该算法可以用作提高放射医师诊断性能的第一步，同时提高敏感性并降低假阳性（FP）率。该系统在120张HRCT扫描图像上进行了测试。根据从放射专家那里获得的地面真相，将这种自动阈值方法与其他最新技术进行了比较。实验结果表明，所提出的方法提供了一种有效的分割解决方案，其误差小，与CT扫描仪无关并且与患者的低剂量或高剂量无关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号