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The contribution of artificial intelligence tools in screening for cancer of the cervix

机译:人工智能工具在子宫颈癌筛查中的贡献

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Recently, research into pathological cytology were intended to put in places of artificial intelligence systems based on the development of new diagnostic technologies and the cell image segmentation. These technologies are not intended to substitute the human expert but to facilitate his task. The objective of this work is to develop a method for diagnosing cancer cervical smears using cervical - vaginal segmented to build our database and a human supervisor and as an automatic tool manage and monitor the execution of the operation of diagnostic and proposing corrective actions if necessary. The Supervisor Smart is manufactured by the technique of neural networks with a success rate of 43.3% followed by the technique of fuzzy logic with a success rate equal to 56.7% and finally to improve this rate we used neuro-fuzzy approach which has a rate which reaches 94%.
机译:最近,对病理学细胞学的研究旨在基于新的诊断技术和细胞图像分割的开发来放入人工智能系统的地方。这些技术并非旨在替代人类专家,而是为了促进他的任务。这项工作的目的是使用宫颈 - 阴道分段制定一种诊断癌宫颈涂片的方法,以建立我们的数据库和人类主管,作为自动工具管理,并在必要时监控执行诊断的操作并提出纠正措施的操作。主管智能由神经网络技术制造,成功率为43.3%,然后是模糊逻辑的技术,成功率等于56.7%,最后提高了这一速率,我们使用了具有速率的神经模糊方法达到94%。

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