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Investigation of Bias in Continuous Medical Image Label Fusion
Image labeling is essential for analyzing morphometric features in medical imaging data. Labels can be obtained by either human interaction or automated segmentation algorithms, both of which suffer from errors. The Simultaneous Truth and Performance Level Estimation (STAPLE) algorithm for both disc...
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| 出版年: | PLoS One |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4892597/ https://ncbi.nlm.nih.gov/pubmed/27258158 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0155862 |
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