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

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

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...

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Bibliographic Details
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
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/87082
http://hdl.handle.net/10220/44310

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