Title

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

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