Automated Detection of Lung Nodules in CT Images with 3D Convolutional Neural Networks

Cheng Dai; Bo Xiao; Yun Chen; Yujiao Du; Yu Liang; Kai Zhao; Liping Yan

doi:10.1109/ICNIDC.2018.8525846

Automated Detection of Lung Nodules in CT Images with 3D Convolutional Neural Networks

Cheng Dai
, Bo Xiao^*
, Yun Chen
, Yujiao Du
, Yu Liang
, Kai Zhao
, Liping Yan

^*Corresponding author for this work

School of Automation

Beijing University of Posts and Telecommunications

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Accurate lung nodule detection in computed tomography (CT) images is a critical step in diagnosing lung cancer. This paper proposes an efficient model to build a Computer-Aided Detection (CADe) system for lung nodule detection, which points out a way to enhance a patient's chance of survival. We first introduce a specially designed three-dimension convolutional neural networks (3D CNN) for candidate detection that takes into account of nodules with various sizes. Then, another 3D CNN is presented for the subsequent false positive reduction. Experimental results of the Tianchi Medical AI Challenge demonstrate the superior detection performance of the proposed approach.

Original language	English
Title of host publication	Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	55-59
Number of pages	5
ISBN (Electronic)	9781538660669
DOIs	https://doi.org/10.1109/ICNIDC.2018.8525846
Publication status	Published - 6 Nov 2018
Event	6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018 - Guiyang, China Duration: 22 Aug 2018 → 24 Aug 2018

Publication series

Name	Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018

Conference

Conference	6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018
Country/Territory	China
City	Guiyang
Period	22/08/18 → 24/08/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

3D CNN
CAD
lung nodule detection

Access to Document

10.1109/ICNIDC.2018.8525846

Cite this

Dai, C., Xiao, B., Chen, Y., Du, Y., Liang, Y., Zhao, K., & Yan, L. (2018). Automated Detection of Lung Nodules in CT Images with 3D Convolutional Neural Networks. In Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018 (pp. 55-59). Article 8525846 (Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNIDC.2018.8525846

Dai, Cheng ; Xiao, Bo ; Chen, Yun et al. / Automated Detection of Lung Nodules in CT Images with 3D Convolutional Neural Networks. Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 55-59 (Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018).

@inproceedings{465150b37a334538b83a7971d259c72b,

title = "Automated Detection of Lung Nodules in CT Images with 3D Convolutional Neural Networks",

abstract = "Accurate lung nodule detection in computed tomography (CT) images is a critical step in diagnosing lung cancer. This paper proposes an efficient model to build a Computer-Aided Detection (CADe) system for lung nodule detection, which points out a way to enhance a patient's chance of survival. We first introduce a specially designed three-dimension convolutional neural networks (3D CNN) for candidate detection that takes into account of nodules with various sizes. Then, another 3D CNN is presented for the subsequent false positive reduction. Experimental results of the Tianchi Medical AI Challenge demonstrate the superior detection performance of the proposed approach.",

keywords = "3D CNN, CAD, lung nodule detection",

author = "Cheng Dai and Bo Xiao and Yun Chen and Yujiao Du and Yu Liang and Kai Zhao and Liping Yan",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018 ; Conference date: 22-08-2018 Through 24-08-2018",

year = "2018",

month = nov,

day = "6",

doi = "10.1109/ICNIDC.2018.8525846",

language = "English",

series = "Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "55--59",

booktitle = "Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018",

address = "United States",

}

Dai, C, Xiao, B, Chen, Y, Du, Y, Liang, Y, Zhao, K & Yan, L 2018, Automated Detection of Lung Nodules in CT Images with 3D Convolutional Neural Networks. in Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018., 8525846, Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 55-59, 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018, Guiyang, China, 22/08/18. https://doi.org/10.1109/ICNIDC.2018.8525846

Automated Detection of Lung Nodules in CT Images with 3D Convolutional Neural Networks. / Dai, Cheng; Xiao, Bo; Chen, Yun et al.
Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 55-59 8525846 (Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automated Detection of Lung Nodules in CT Images with 3D Convolutional Neural Networks

AU - Dai, Cheng

AU - Xiao, Bo

AU - Chen, Yun

AU - Du, Yujiao

AU - Liang, Yu

AU - Zhao, Kai

AU - Yan, Liping

PY - 2018/11/6

Y1 - 2018/11/6

N2 - Accurate lung nodule detection in computed tomography (CT) images is a critical step in diagnosing lung cancer. This paper proposes an efficient model to build a Computer-Aided Detection (CADe) system for lung nodule detection, which points out a way to enhance a patient's chance of survival. We first introduce a specially designed three-dimension convolutional neural networks (3D CNN) for candidate detection that takes into account of nodules with various sizes. Then, another 3D CNN is presented for the subsequent false positive reduction. Experimental results of the Tianchi Medical AI Challenge demonstrate the superior detection performance of the proposed approach.

AB - Accurate lung nodule detection in computed tomography (CT) images is a critical step in diagnosing lung cancer. This paper proposes an efficient model to build a Computer-Aided Detection (CADe) system for lung nodule detection, which points out a way to enhance a patient's chance of survival. We first introduce a specially designed three-dimension convolutional neural networks (3D CNN) for candidate detection that takes into account of nodules with various sizes. Then, another 3D CNN is presented for the subsequent false positive reduction. Experimental results of the Tianchi Medical AI Challenge demonstrate the superior detection performance of the proposed approach.

KW - 3D CNN

KW - CAD

KW - lung nodule detection

UR - https://www.scopus.com/pages/publications/85058271168

U2 - 10.1109/ICNIDC.2018.8525846

DO - 10.1109/ICNIDC.2018.8525846

M3 - Conference contribution

AN - SCOPUS:85058271168

T3 - Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018

SP - 55

EP - 59

BT - Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018

Y2 - 22 August 2018 through 24 August 2018

ER -

Dai C, Xiao B, Chen Y, Du Y, Liang Y, Zhao K et al. Automated Detection of Lung Nodules in CT Images with 3D Convolutional Neural Networks. In Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 55-59. 8525846. (Proceedings of 2018 6th IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2018). doi: 10.1109/ICNIDC.2018.8525846

Automated Detection of Lung Nodules in CT Images with 3D Convolutional Neural Networks

Abstract

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UN SDGs

Keywords

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