Lung nodules detection based on modified extreme learning machine with deep convolutional features

Guodong Zhang; Yuxuan Sun; Lingchuang Kong; Jing Bi; Zhaoxuan Gong; Yoohwan Kim; Wei Guo

doi:10.1117/12.2502829

9 August 2018 Lung nodules detection based on modified extreme learning machine with deep convolutional features

Guodong Zhang, Yuxuan Sun, Lingchuang Kong, Jing Bi, Zhaoxuan Gong, Yoohwan Kim, Wei Guo

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080657 (2018) https://doi.org/10.1117/12.2502829
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

This work achieves a method based on modified extreme learning machine (ELM) with deep convolutional features to detect lung nodules automatically. Convolutional neural networks (CNNs) are employed to extract the features of lung nodules for classification. And then ELM is used to detect the lung nodules by combining the normalization and vote selection. In comparison with the traditional methods, it is shown that our method achieves a higher performance and it can be used as an effective tool for lung nodules computer aided diagnosis.

Citation Download Citation

Guodong Zhang, Yuxuan Sun, Lingchuang Kong, Jing Bi, Zhaoxuan Gong, Yoohwan Kim, and Wei Guo "Lung nodules detection based on modified extreme learning machine with deep convolutional features", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080657 (9 August 2018); https://doi.org/10.1117/12.2502829

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