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Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Registration is a core component of many imaging pipelines. In case of clinical scans, with lower resolution and sometimes substantial motion artifacts, registration can produce poor results. Visual assessment of registration quality in large clinical datasets is inefficient. In this work, we propos...
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| 發表在: | Med Image Anal |
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| Main Authors: | , , , , , , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7275913/ https://ncbi.nlm.nih.gov/pubmed/32339896 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2020.101698 |
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