Lung Nodules Detection Based on Modified Extreme Learning Machine with Deep Convolutional Features
Proceedings of SPIE - The International Society for Optical Engineering
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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.
Computer aided diagnosis; Convolutional neural network; Detection of lung nodules; Extreme learning machine
Lung Nodules Detection Based on Modified Extreme Learning Machine with Deep Convolutional Features.
Proceedings of SPIE - The International Society for Optical Engineering, 10806