A Fast and Efficient CAD System for Improving the Performance of Malignancy Level Classification on Lung Nodules

A Fast and Efficient CAD System for Improving the Performance of Malignancy Level Classification on Lung Nodules

Accurate malignancy level classification of lung nodules can reduce lung cancer mortality rate effectively. In this study, we present a fast and efficient CAD system to improve the performance of nodules malignancy level classification. Firstly, to reduce false positives (FPs), we propose a novel ve...

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Bibliographic Details
Main Authors: Bin Wang, Shuaizong Si, Enuo Cui, Hai Zhao, Dongxiang Yang, Shengchang Dou, Jian Zhu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Lung nodule
malignancy level classification
computer-aided diagnosis
vessels segmentation
Frangi filter
feature extraction
Online Access:https://ieeexplore.ieee.org/document/9016176/

Internet

https://ieeexplore.ieee.org/document/9016176/

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