使用彩色分割的血癌检测我要分享

Blood cancer detection using color segmentation

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开发平台: matlab

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中文说明:改进的克施密特正交化方法 ;


English Description:

A modified Gram-Schmidt orthogonalisation method has  been commixed with a region growing method for efficient white  blood cell image segmentation. The modified Gram-Schmidt  method is used to segment the nucleus of white blood cells, while  the region growing method is employed to segment the cytoplasm  of white blood cells. To evaluate the performance of WBC image  segmentation, the 100 samples of the microscopic WBC images is  used. The segmentation results from the proposed mechanism are  compared with manually segmented images, which are  considered to be the correct segmentation result. Accuracy of the  results reaches 95.21% and 92.31% for the Lymphocyte and  Neutrophil cell


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