Genetic Neural Network for Cell Segmentation

摘要

TMs paper presents a cell image segmentation methods based on genetic neural network. The method uses genetic algorithm BP neural network weights and thresholds to optimize, and defines fitness function with bipolar mappings to speed up neural network training speed, and then use iterative neural network algorithm to achieve cell segmentation. The results of Experimental show that the algorithm neural network can better achieve the cell segmentation compared with the traditional method;Compared with BP neural network training speed is greatly improved.