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On the Use of Artificial Neural Networks for Biomedical Applications

机译:关于使用人工神经网络进行生物医学应用

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Artificial Neural Networks (ANN) are being extensively used in many application areas due to their ability to learn and generalize from data, similarly to a human reaction. This paper reports the use of ANN as a classifier, dynamic model, and diagnosis tool. The examples presented include blood flow emboli classification based on transcranial ultrasound signals, tissue temperature modeling based on imaging transducer's raw data and identification of ischemic cerebral vascular accident areas based on computer tomography images. In all case studies the performance of ANN proves to produce very accurate results, encouraging the more frequent use of these computational intelligent techniques on medical applications.
机译:由于能够从数据的学习和推广能力,人工神经网络(ANN)在许多应用领域广泛使用,类似于人类反应。本文报告了ANN作为分类器,动态模型和诊断工具的使用。呈现的实施例包括基于经颅超声信号的血流栓塞分类,基于成像换能器的基础数据和基于计算机断层摄影图像的缺血性脑血管事故区域的组织温度建模。在所有案例研究中,ANN的性能证明了产生非常准确的结果,鼓励更频繁地利用这些计算智能技术对医疗应用。

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