首页> 外国专利> METHOD FOR DETERMINING WHETHER A CELL SHOWN IN A NUCLEAR FLUORESCENCE IMAGE ACQUIRED THROUGH CONFOCAL MICROSCOPE IS A DISEASED CELL, IN PARTICULAR A TUMOROUS CELL

METHOD FOR DETERMINING WHETHER A CELL SHOWN IN A NUCLEAR FLUORESCENCE IMAGE ACQUIRED THROUGH CONFOCAL MICROSCOPE IS A DISEASED CELL, IN PARTICULAR A TUMOROUS CELL

机译:用于确定通过共焦显微镜获得的核荧光图像中显示的细胞是否为病变细胞,尤其是肿瘤细胞的方法

摘要

The present invention for determining whether a cell (C) shown in a nuclear fluorescence image acquired through a confocal microscope is a diseased cell, in particular a tumorous cell. Said method is based on the application of a discrete Wavelet transform to a reference matrix associated with a reference image (IREF) of the nucleus (C) of the cell, obtained by inserting a segmented image of said nucleus (C) on a background of a predetermined colour, to obtain four further matrixes, and on the generation of a respective Co-occurrence matrix for each further statistical function which characterize the nucleus (C) of said cell and are calculated starting from each Co-occurrence matrix, wherein said results are provided as input to a predetermined neural network (NN). The present invention relates also for determining whether a cell shown in a nuclear fluorescence image acquired through confocal microscope is a diseased cell, in particular a tumorous cell.
机译:本发明用于确定通过共焦显微镜获得的核荧光图像中所示的细胞(C)是否为患病细胞,尤其是肿瘤细胞。所述方法基于对与细胞核(C)的参考图像(IREF)相关联的参考矩阵应用离散小波变换,所述参考矩阵是通过在预定颜色的背景上插入所述细胞核(C)的分割图像获得的,以获得另外四个矩阵,以及为表征所述细胞的细胞核(C)的每个进一步的统计函数生成相应的共现矩阵,并从每个共现矩阵开始计算,其中所述结果被提供为预定神经网络(NN)的输入。本发明还涉及确定通过共焦显微镜获得的核荧光图像中显示的细胞是否为患病细胞,尤其是肿瘤细胞。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号