Hybrid-feature-guided lung nodule type classification on CT images

• Main Authors: Yuan, Jingjing, Liu, Xinglong, Hou, Fei, Qin, Hong, Hao, Aimin
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Computer Tomography; Lung Nodule
• Online Access: https://hdl.handle.net/10356/87082; http://hdl.handle.net/10220/44310
• Institution: Nanyang Technological University

In this paper, we propose a novel classification method for lung nodules from CT images based on hybrid features. Towards nodules of different types, including well-circumscribed, vascularized, juxta-pleural, pleural-tail, as well as ground glass optical (GGO) and non-nodule from CT scans, our metho...