Li Bin, Tian Lianfang, Ou Shanxing
School of Automation Science and Engineering, South China Univ. of Tech., Guangzhou 510640, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009 Oct;26(5):1141-5, 1157.
It is of paramount importance for the diagnosis and therapy of lung cancer, even for the increasing of 5-year survival rate in that the early dignosis of malignant pulmonary nodules are made by intelligent identification successfully. As it stands, in intelligent identification of pulmonary nodules, computer-aided detection/diagnosis (CAD) plays the most important role. The key points of intelligent identification of pulmonary nodules are (1) Detecting pulmonary nodules based on the characterization of nodule appearance; (2) Measuring accurately the nodule size; (3) Computing accurately the growth rate. This article presents a review on the basic technologies and methods of CAD for identifying malignant pulmonary nodules in the course of making early diagnosis, including lung segmentation, registration of volume data, identification of benign/malignant pulmonary nodule, and so on.
对于肺癌的诊断和治疗，甚至对于提高5年生存率而言，成功地通过智能识别实现恶性肺结节的早期诊断至关重要。目前，在肺结节的智能识别中，计算机辅助检测/诊断（CAD）发挥着最重要的作用。肺结节智能识别的关键点包括：（1）基于结节外观特征检测肺结节；（2）准确测量结节大小；（3）准确计算生长率。本文综述了在早期诊断过程中用于识别恶性肺结节的CAD的基本技术和方法，包括肺分割、体积数据配准、良恶性肺结节识别等。
