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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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書誌詳細
主要な著者:	Gan, Hong Seng, Sayuti, Khairil Amir, Ramlee, Muhammad Hanif, Lee, Yeng Seng, Wan Mahmud, Wan Mahani Hafizah, Abdul Karim, Ahmad Helmy
フォーマット:	論文
出版事項:	Springer Verlag 2019
主題:	QH Natural history TP Chemical technology
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
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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