Computer-aided diagnosis for pneumoconiosis based on texture analysis on digital chest radiographs

摘要：

　　In this paper, texture analysis was used to discriminate digital chest radiographs of pneumoconiosis patients from normal ones.First, lung fields in each chest radiograph were segmented by using the morphological reconstruction and Otsu-thresholding.Second, several texture features based on the histogram and co-occurrence matrix of grey levels were extracted.Finally, a neural network based classifier was trained with features extracted from 66 chest images to distinguish pneumoconiosis patients from normal cases.Another 29 images were used to assess the diagnosis performance of the classifier, giving an overall accuracy of 79.3%.

关键词： texture analysis digital radiograph computer-aided diagnosis pneumoconiosis

作者: Chunxiao Cai Biyun Zhu Hui Chen

作者单位: Class 2009 of Biomedical Engineering, Capital Medical University, Beijing 100069, China School of Biomedical Engineering, Capital Medical University, Beijing 100069, China

会议类型: 国内会议

会议名称: 首都医科大学生物医学工程学科学术年会

会议地点: 北京

会议语种:英文

页码: 330-334

在线出版日期: 2012-12-01（万方平台首次上网日期，不代表论文的发表时间）