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基于X线影像的骨发育成熟度自动评价系统:研究进展和挑战 被引量:12

Automated skeletal maturity assessment based on X-ray images: progress and challenges
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摘要 本文综述近十年以来 ,骨发育成熟度 (骨龄 )自动评价系统的国内外发展进程和现状 ,分析了该系统在实现过程中所面临的挑战 ,并提出一些可能的对策。 We summarize the development of the automated skeletal maturity assessment over the past decade and challenges. Then we analyze the main difficulties in implementing an automated skeletal maturity assessment system,and put forward some possible solutions to them.
出处 《中国医学影像技术》 CSCD 2004年第1期143-146,共4页 Chinese Journal of Medical Imaging Technology
基金 国家自然科学基金(60 1 72 0 56和 69790 80 0 1) 国家体育总局备战2 0 0 8年奥运会科技攻关项目 (0 2 0 4 6) 中国科学院"引进海外杰出人才"基金资助
关键词 骨龄 自动评价系统 骨骺 干骨后端 Bone age Automated assessment system Epiphysis Metaphysis
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参考文献6

  • 1[7]Bo-Chun Fan, Chi-Wen Hsieh, Tai-Lang Jong, et al. Automatic bone age estimation based on carpal-bone Image-a preliminary report[J]. Chinese Medical Journal (Taipei), 2001,64():203-208.
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  • 3[9]Pietka E, Kaabi L, Kuo ML, et al. Feature extraction in carpal-bone analysis[J]. IEEE Transactions on Medical Imaging, 1993,12(1):44-49.
  • 4[10]Pietka E, Gertych A, Pospiech S, et al. Computer-assisted bone age assessment: image preprocessing and epiphyseal/ metaphyseal ROI extraction[J]. IEEE Transactions on Medical Imaging,2001,20(8):715-729.
  • 5[11]Nopola T, Jarvi A, Svedstrom E, et al. Segmenting bones from wristhand radiographs[R].Turku Centre for Computer Science TUCS Technical Report, 2000.
  • 6[12]Efford ND. Knowledge-Based Segmentation and Feature Analysis of Hand-Wrist Radiographs[R]. University of Leeds School of Computer Studies Reseach Report Series, 1994.

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