Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans-Reference-Cited by-同舟云学术

Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans

Published:2018-05-05 Issue:10 Volume:31 Page:6863-6877
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Singh Gur Amrit Pal,Gupta P. K.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3518-x.pdf

Reference30 articles.

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4. Armato III SG, Hadjiiski L, Tourassi GD, Drukker K, Giger ML, Li F, Redmond G, Farahani K, Kirby JS, Clarke LP (2015) SPIE-AAPM-NCI Lung nodule classification challenge dataset. The Cancer Imaging Arch. https://doi.org/10.7937/K9/TCIA.2015.UZLSU3FL

5. Gonzalez RC, Woods RE (2002) Digital image processing. Prentice Hall, Upper Saddle River, NJ, pp 797–800

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