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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Tan, J., Huo, Y., Liang, Z., Li, L. (2017). Apply Convolutional Neural Network to Lung Nodule Detection: Recent Progress and Challenges. In: Chen, H., Zeng, D., Karahanna, E., Bardhan, I. (eds) Smart Health. ICSH 2017. Lecture Notes in Computer Science(), vol 10347. Springer, Cham. https://doi.org/10.1007/978-3-319-67964-8_21
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DOI: https://doi.org/10.1007/978-3-319-67964-8_21
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