基于图像处理的肺结节实质分割专利技术分析

Analysis of patented technology for parenchymal segmentation of pulmonary nodules based on image processing

随着计算机图像处理技术的不断进步和医学图像样本的不断丰富,计算机肺结节辅助识别技术在医学图像处理领域的应用前景越来越广阔。肺结节实体分割为能够从CT图像中检测、分割肺结节,提高发现早期肺癌的概率,提高患者的生存率,具有非常重要的临床意义。文章对肺结节分割的定义进行了详细介绍,并重点阐述了该专利技术的现实意义;主要以CNABS、CNTXT、VEN、WOTXT、USTXT等数据库的检索结果为分析样本,从专利文献的视角对肺结节计算机辅助诊断技术的发展进行了全面的数据统计以及分析,阐述了与肺结节计算机辅助诊断技术相关的国内外专利的申请情况。

With the continuous advancement of computer image processing technology and the continuous enrichment of medical image samples,the prospect of computer aided identification of pulmonary nodules in the field of medical image processing is getting wider and wider.The entity seg mentation of pulmonary nodules can detect and segment pulmonary nodules from CT images,improve the probability of early detection of lung cancer,and improve the survival rate of patients,which has very important clinical significance.The article introduces the definition of pulmonary nodule segmentation in detail,and focuses on the practical significance of the patented technology.It mainly uses the retrieval results of CNABS,CNTXT,VEN,WOTXT,USTXT and other databases as analysis samples,from the perspective of patent literature,lung The development of computer-aided diagnosis technology for nodules carries out com prehensive data statistics and analysis,and describes the domestic and foreign patent applications related to computer-aided diagnosis technology for pulmonary nodules.