A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images
Author:
Funder
Ministry of Education
Ministry of Trade Industry and Energy (South Korea), Kakao and Kakao Brain Corporations
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-36047-2.pdf
Reference13 articles.
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3. LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444, https://doi.org/10.1038/nature14539 (2015).
4. Kim, G. B. et al. Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease. J Digit Imaging, https://doi.org/10.1007/s10278-017-0028-9 (2017).
5. Perlin, K. An image synthesizer. SIGGRAPH Comput. Graph. 19, 287–296, https://doi.org/10.1145/325165.325247 (1985).
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