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...
Main Authors: | Yuan, Jingjing, Liu, Xinglong, Hou, Fei, Qin, Hong, Hao, Aimin |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/87082 http://hdl.handle.net/10220/44310 |
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