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The segmentation of medical images is an important component of medical imaging technology, and the effect of which will impact the diagnosis and therapy directly. Taking the complexity and uncertainty of the medical images into consideration fully, we propose the genetic neural network to be used to segment the skin cancer images. Optimization of weights and thresholds in neural network based on...
This paper proposed a new segmentation algorithm of 3D medical image based on Hopfield neural networks. The method makes Hopfield neural networks and genetic algorithm (GA) combined and use texture analysis to achieve segmentation of tumor CT image. This method not only overcome shortcoming that the Hopfield neural network easily converge to local optimal solution, but also break the constraints that...
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