Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

BACKGROUND: The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic processing tools such as image segmentation methods are employed to derive quantitative measures or biomarkers for further a...

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Detaylı Bibliyografya
Yayımlandı:J Cardiovasc Magn Reson
Asıl Yazarlar: Robinson, Robert, Valindria, Vanya V., Bai, Wenjia, Oktay, Ozan, Kainz, Bernhard, Suzuki, Hideaki, Sanghvi, Mihir M., Aung, Nay, Paiva, José Miguel, Zemrak, Filip, Fung, Kenneth, Lukaschuk, Elena, Lee, Aaron M., Carapella, Valentina, Kim, Young Jin, Piechnik, Stefan K., Neubauer, Stefan, Petersen, Steffen E., Page, Chris, Matthews, Paul M., Rueckert, Daniel, Glocker, Ben
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2019
Konular:
Research
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6416857/
https://ncbi.nlm.nih.gov/pubmed/30866968
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12968-019-0523-x
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