@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",
}