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Leveraging Social Norms and Implementation Intentions for Better Health Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Apply Convolutional Neural Network to Lung Nodule Detection: Recent Progress and Challenges

Authors : Jiaxing Tan, Yumei Huo, Zhengrong Liang, Lihong Li

Published in: Smart Health

Publisher: Springer International Publishing

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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.

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previous chapter Regression Analysis and Prediction of Mini-Mental State Examination Score in Alzheimer’s Disease Using Multi-granularity Whole-Brain Segmentations
next chapter Using Machine Learning to Diagnose Bacterial Sepsis in the Critically Ill Patients
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Metadata
Title
Apply Convolutional Neural Network to Lung Nodule Detection: Recent Progress and Challenges
Authors
Jiaxing Tan
Yumei Huo
Zhengrong Liang
Lihong Li
Copyright Year
2017
Book
Smart Health

Print ISBN: 978-3-319-67963-1

Electronic ISBN: 978-3-319-67964-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-67964-8_21

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