北京生物医学工程Issue(4)：409-413,423,6.DOI:10.3969/j.issn.1002-3208.2015.04.16
基于三维 CT 图像的淋巴结自动检测算法研究进展
Development of automated lymph node detection algorithms based on 3D CT images
摘要
Abstract
Lymph node detection and quantitative analysis are very important for cancer staging and treatment effectiveness assessment. To date,the detection and assessment of lymph nodes are mainly based on 3D CT images and performed manually by the clinicians. In recent years,the automated detection algorithms with the techniques of computer and image processing have received a great deal of attention. Based on the analysis of the spatial distribution characteristics and image features of lymph nodes,this paper reviews on lymph node detection algorithms from the aspects of the determination of regions of interest,detection of lymph node candidates and reduction of false positives at first. Then the performances of different lymph node detection algorithms are compared. And the development of automated lymph node detection algorithm is analyzed from the detection regions,prior knowledge utilization,lymph node types,and etc.关键词
淋巴结/自动检测算法/三维CT图像/疗效评估Key words
lymph node/automated detection algorithm/3D CT image/treatment effectiveness assessment分类
医药卫生引用本文复制引用
严加勇,赵莹..基于三维 CT 图像的淋巴结自动检测算法研究进展[J].北京生物医学工程,2015,(4):409-413,423,6.基金项目
上海市教委科研创新项目（13YZ136）资助 （）
