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Brady, S.M.* ; Highnam, R.* ; Irving, B.* ; Schnabel, J.A.*

Oncological image analysis.

Med. Image Anal. 33, 7-12 (2016)
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Open Access Green as soon as Postprint is submitted to ZB.
Cancer is one of the world's major healthcare challenges and, as such, an important application of medical image analysis. After a brief introduction to cancer, we summarise some of the major developments in oncological image analysis over the past 20 years, but concentrating those in the authors’ laboratories, and then outline opportunities and challenges for the next decade.
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Publication type Article: Journal article
Document type Editorial
Keywords Angiogenesis ; Cancer ; Mammography ; Molecular Imaging ; Radiotherapy
Language english
Publication Year 2016
HGF-reported in Year 2016
ISSN (print) / ISBN 1361-8415
e-ISSN 1361-8415
Journal Medical Image Analysis
Quellenangaben Volume: 33, Issue: , Pages: 7-12 Article Number: , Supplement: ,
Publisher Elsevier
Reviewing status Peer reviewed
Institute(s) Institute for Machine Learning in Biomed Imaging (IML)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-507100-001
DOI 10.1016/j.media.2016.06.012
Scopus ID 84977623128
Erfassungsdatum 2022-09-06
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