Unifying the seeds auto generation (SAGE) with knee cartilage segmentation framework: data from the osteoarthritis initiative
Purpose: Manual segmentation is sensitive to operator bias, while semiautomatic random walks segmentation offers an intuitive approach to understand the user knowledge at the expense of large amount of user input. In this paper, we propose a novel random walks seed auto-generation (SAGE) hybrid mode...
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| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Springer Verlag
2019
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/89236/ http://dx.doi.org/10.1007/s11548-019-01936-y |
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