@inproceedings{7ad9deda90c04d7c9654deb3f434531a,
title = "Apply convolutional neural network to lung nodule detection: Recent progress and challenges",
abstract = "Convolutional Neural Network has shown great success in many areas. Different from the hand-engineered feature based classification, Convolutional Neural Network uses self-learned features from data for classification. Recently, some progress has been made in the area of Convolutional Neural Network based lung nodule detection. This paper gives a brief introduction to the problems in such area reviews the recent related results, and concludes the challenges met. Besides some technical details, we also introduce some available public packages for a fast development and some public data sources.",
author = "Jiaxing Tan and Yumei Huo and Zhengrong Liang and Lihong Li",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; International Conference on Smart Health, ICSH 2017 ; Conference date: 26-06-2017 Through 27-06-2017",
year = "2017",
doi = "10.1007/978-3-319-67964-8\_21",
language = "English",
isbn = "9783319679631",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "214--222",
editor = "Elena Karahanna and Indranil Bardhan and Hsinchun Chen and Zeng, \{Daniel Dajun\}",
booktitle = "Smart Health - International Conference, ICSH 2017, Proceedings",
}