,

Tanwiwat Jaikuna1,2, Fiona Wilson1, David Azria3

  • 1Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Christie NHS Foundation Trust Hospital, Manchester, United Kingdom.

概括

为基于乳腺图像的数据挖掘 (IBDM) 优化空间正常化至关重要. 具有正常化相互信息 (NMI) 的B-spline算法为准确的乳腺IBDM提供了最佳策略,独立地记录患者的位置.

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