Computer-aided volumetric assessment of malignant pleural mesothelioma on CT using a random walk-based method-Reference-Cited by-同舟云学术

Computer-aided volumetric assessment of malignant pleural mesothelioma on CT using a random walk-based method

Published:2016-12-27 Issue:4 Volume:12 Page:529-538
ISSN:1861-6410
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Chen Mitchell^ORCID,Helm Emma,Joshi Niranjan,Gleeson Fergus,Brady Michael

Funder

NIHR Biomedical Research Centre

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11548-016-1511-3.pdf

Reference21 articles.

1. World Health Organization (2007) WHO calls for prevention of cancer through healthy workplaces. Secondary WHO calls for prevention of cancer through healthy workplaces. http://www.who.int/mediacentre/news/notes/2007/np19/en/index.html

2. Rushton L, Hutchings S, Brown T (2008) The burden of cancer at work: estimation as the first step to prevention. Occup Environ Med 65(12):789–800. doi: 10.1136/oem.2007.037002

3. Vogel L (2005) Special report: asbestos in the world. HESA Newslett 27:7–21

4. Courtice MN, Lin S, Wang X (2012) An updated review on asbestos and related diseases in China. Int J Occup Environ Health 18(3):247–253. doi: 10.1179/1077352512Z.00000000021

5. Joshi TK, Bhuva UB, Katoch P (2006) Asbestos ban in India: challenges ahead. Ann NY Acad Sci 1076:292–308. doi: 10.1196/annals.1371.072

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