基于网络的内窥镜检查推荐系统

Proceedings International Conference on Parallel Computing in Electrical Engineering. PARELEC 2000 Pub Date : 2000-08-27 DOI:10.1109/PCEE.2000.873641

H. Krawczyk, R. Knopa, Katarzyna Lipczynska, Maciej Lipczynski

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引用次数: 6

摘要

描述了一种基于web的支持内窥镜图像采集和识别的推荐系统。提出了利用神经网络识别疾病症状的方法。并提出了用遗传算法并行实现网络学习阶段的方法。实验结果表明了该方法的优越性。

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Web-based endoscopy recommender system-ERS

A Web-based recommender system supporting acquisition and recognition of endoscopy images is described. Utilization of neural networks to identify some disease symptoms is proposed. Moreover, parallel realization of the learning phase of such networks by genetic algorithms is proposed. Some experiments showing advantages of this approach are also presented.

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Proceedings International Conference on Parallel Computing in Electrical Engineering. PARELEC 2000

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