A cell nucleus segmentation method based on attention mechanism and residual structure
Accurate segmentation of pathological cell nucleus is the basis of pathological diagnosis,howev-er,the current algorithm for automatic segmentation of mitotic breast cancer cell nucleus is poor.This paper analyze and study the current cell nucleus segmentation algorithm.And a U-shaped network(U_net)based on a combination of attention mechanism and residual structure is proposed to solve the prob-lem of insufficient accuracy of cell nucleus segmentation due to the close morphological characteristics of mitotic and non-mitotic cells.The experiments show that the average pixel accuracy(MPA)and Mean_dice index coefficient of the proposed algorithm are 0.74 and 0.82.Compared with the original algo-rithm,the training indexes are improved by 11％and 9％,which proves the feasibility of the algorithm in this article.
NETL
NSTL
万方数据
维普
