Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models-Reference-Cited by-同舟云学术

Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models

Published:2015-08-05 Issue:1 Volume:15 Page:
ISSN:1471-2342
Container-title:BMC Medical Imaging
language:en
Short-container-title:BMC Med Imaging

Author:

Khalvati Farzad,Wong Alexander,Haider Masoom A.

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

Link

http://link.springer.com/article/10.1186/s12880-015-0069-9/fulltext.html

Reference59 articles.

1. Canadian Cancer Society. Canadian Cancer Statistics. 2014. http://www.cancer.ca/~/media/cancer.ca/CW/cancer%20information/cancer%20101/Canadian%20cancer%20statistics/Canadian-Cancer-Statistics-2014--EN.pdf .

2. American Cancer Society. Cancer Facts and Figures. 2014. http://www.cancer.org/research/cancerfactsstatistics/cancerfactsfigures2014/ .

3. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA: A Cancer J Clin. 2011; 61(2):69–90.

4. Canadian Cancer Society. Canadian Cancer Statistics. 2011. http://www.cancer.ca/~/media/cancer.ca/CW/cancer%20information/cancer%20101/Canadian%20cancer%20statistics/Canadian-Cancer-Statistics-2011-EN.pdf .

5. Andriole GL, Crawford D, Grubb RL, Buys SS, Chia D, Church TR, et al. PLCO Project Team. Mortality results from a randomized prostate-cancer screening trial. N Engl J Med. 2009; 360:1310–9.

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