计算机与现代化Issue(10)：55-59,5.DOI:10.3969/j.issn.1006-2475.2015.10.012
基于证据推理的区域合并用于交互式的医学图像分割
Evidential Reasoning-based Region Merging for Interactive Medical Image Segmentation
李瑞1
作者信息
- 1. 陕西财经职业技术学院会计二系，陕西 咸阳 712000
- 折叠
摘要
Abstract
When preoperatively diagnosing the gastric cancer, extracting regions which include lymph nodes in CT images accu-rately is very important for doctors.Meanwhile, it is better to allow direct intervention of doctors to make necessary corrections when needed.Due to above problems, a novel evidential reasoning based region merging ( ERRM) method for interactive image segmentation is proposed.ERRM not only can extract object regions effectively, but also allow direct intervention of doctors.Af-ter initial segmentation, the similarity between the target region and its adjacent regions will be calculated by evidential reasoning ( ER) .Two regions will be merged if they have the highest similarity.The experimental results show that ERRM can obtain better performance than other methods in both qualitative and quantitative analysis.关键词
交互式分割/证据推理/区域合并/脂肪组织/CT图像Key words
interactive image segmentation/evidential reasoning/region merging/fatty tissue/CT images分类
信息技术与安全科学引用本文复制引用
李瑞..基于证据推理的区域合并用于交互式的医学图像分割[J].计算机与现代化,2015,(10):55-59,5.
