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角膜地形图分析的数学模型分类及其在诊断圆锥角膜中的意义 |
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9(12):1075-1081.
[16] Witten IH, Frank E. Data mining: practical machine learning tools and techniques[M]. Second Edition, San Fransisco: Morgan Kaufmann Publishers,2005:97-102.
[17] Twa MD, Parthasarathy S, Raasch TW. Decision tree classification of spatial data patterns from videokeratography using Zernike polynomials[A]. SIAM International Conference on Data Mining[C]. San Francisco: Society for industrial and applied methematics,2003:3-12.
[18] Twa MD, Parthasarathy S, Roberts C, et al. Automated decision tree classification of corneal shape[J]. Optom Vis Sci,2005,82(12):1038-1046.
[19] 刘祖国,陈家祺,王铮,等. 圆锥角膜的角膜地形图改变[J]. 中华眼科杂志,1994,30(3):189-191.
[20] 瞿小妹,李梅. 圆锥角膜早期的角膜地形图改变[J]. 眼科新进展,2001,21(2):109-110.
[21] 姜宏钧,谢培英. 圆锥角膜的角膜地形图分析[J]. 中华眼科杂志,2006,42(3):231-235.
上一页 [1] [2] [3] [4] [5] 上一个医学论文: 瞬康医用胶在引导组织再生膜固定中的应用 下一个医学论文: 改良型劈核器在小切口非超声乳化白内障手术中的应用
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