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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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| Publié dans: | Diagn Interv Radiol |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Turkish Society of Radiology
2020
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| Sujets: | |
| Accès en ligne: | 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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