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- W2885492542 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." @default.
- W2885492542 created "2018-08-22" @default.
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- W2885492542 date "2018-08-09" @default.
- W2885492542 modified "2023-09-25" @default.
- W2885492542 title "Lung nodules detection based on modified extreme learning machine with deep convolutional features" @default.
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- W2885492542 doi "https://doi.org/10.1117/12.2502829" @default.
- W2885492542 hasPublicationYear "2018" @default.
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