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A Classification Diagnosis of Cervical Cancer Medical Data Based on Various Artificial Neural Networks

机译:基于各种人工神经网络的宫颈癌医疗数据分类诊断

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This paper mainly proposed to identify and classify the medical data of cervical cancer using neural network models such as SVM, FNN. KNN and so on. The computer recognition algorithm can overcome the deficiency that artificial identification tends to be affected by cognitive ability, subjective experience and fatigue degree. The model trained under various neural networks with the experts' manual marked data will obtain a more precise result in the identification process of cervical cancer medical data.
机译:本文主要提出使用如SVM,FNN等神经网络模型识别和分类宫颈癌的医学数据。 knn等等。计算机识别算法可以克服人工识别往往受认知能力,主观经验和疲劳程度影响的缺陷。在具有专家手册标记数据的各种神经网络下培训的模型将获得宫颈癌医疗数据的鉴定过程中的更精确结果。

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