/dtcnn_elm_lnd

Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images

Primary LanguageJupyter NotebookMIT LicenseMIT

DTCNN-ELM for Lung Nodule Diagnosis

MethodFig

This repository contains source code for KBS paper "Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images".

Codes are run on Windows 10 with 32 GB RAM, Intel Core i7 9700K processor, and a Nvidia RTX 2080 GPU.

Note: Due to the requirements of project, raw datasets used in the paper are not provided.

Citation

If this project useful for your research, please cite the original journal paper with the following BibTex entry.

@article{HUANG2020106230,
title = "Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images",
journal = "Knowledge-Based Systems",
volume = "204",
pages = "106230",
year = "2020",
issn = "0950-7051",
doi = "https://doi.org/10.1016/j.knosys.2020.106230",
url = "http://www.sciencedirect.com/science/article/pii/S0950705120304378",
author = "Xufeng Huang and Qiang Lei and Tingli Xie and Yahui Zhang and Zhen Hu and Qi Zhou",
}