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The impact of irreversible image data compression on post-processing algorithms in computed tomography

PURPOSE: We aimed to evaluate the influence of irreversible image compression at varying levels on image post-processing algorithms (3D volume rendering of angiographs, computer-assisted detection of lung nodules, segmentation and volumetry of liver lesions, and automated evaluation of functional ca...

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Dettagli Bibliografici
Pubblicato in:Diagn Interv Radiol
Autori principali: dos Santos, Daniel Pinto, Friese, Conrad, Borggrefe, Jan, Mildenberger, Peter, Mähringer-Kunz, Aline, Kloeckner, Roman
Natura: Artigo
Lingua:Inglês
Pubblicazione: Turkish Society of Radiology 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7075587/
https://ncbi.nlm.nih.gov/pubmed/31904569
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5152/dir.2019.18245
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