Lung Nodules Detection Based on Modified Extreme Learning Machine with Deep Convolutional Features
Document Type
Conference Proceeding
Publication Date
8-9-2018
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
10806
First page number:
1
Last page number:
7
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.
Keywords
Computer aided diagnosis; Convolutional neural network; Detection of lung nodules; Extreme learning machine
Disciplines
Computer Sciences
Language
English
Repository Citation
Zhang, G.,
Sun, Y.,
Kong, L.,
Bi, J.,
Gong, Z.,
Kim, Y.,
Guo, W.
(2018).
Lung Nodules Detection Based on Modified Extreme Learning Machine with Deep Convolutional Features.
Proceedings of SPIE - The International Society for Optical Engineering, 10806
1-7.
http://dx.doi.org/10.1117/12.2502829