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Ultra-wideband scattered microwave signals for detection of breast tumors using artifical neural networks

机译:超宽带散射微波信号,用于使用人工神经网络检测乳腺肿瘤

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Microwaved scattered signals are of great importance, because of their various applications in many fields such as medicine, biology and other sciences. Microwave scattered signals are maps of the electrical property distributions in the body. The non-ionizing property of microwaves makes it a promising approach, thus permitting frequent examinations. Microwave electronics and test instrumentation is mature, compact, and relatively cheap compared to X-ray or MRI equipment. Neural network in today's world grabs massive attentions, neural network leads to high possibilities of broaden application in many fields of technology. Use of ANN increases the accuracy of most of the methods and reduces the need of the human expert. In this paper, a proposed computational method for detection of the breast tumors by using utra-wideband microwave technology. The proposed technique is based on the use of artifical neural network ANN.
机译:微波散射信号非常重要,因为它们在医学,生物学和其他科学等许多领域都有广泛的应用。微波散射信号是体内电特性分布图。微波的非电离特性使其成为一种有前途的方法,因此可以进行频繁的检查。与X射线或MRI设备相比,微波电子设备和测试仪器已经成熟,紧凑且相对便宜。当今世界,神经网络引起了广泛的关注,神经网络带来了广泛应用在许多技术领域的可能性。使用人工神经网络可以提高大多数方法的准确性,并减少人类专家的需求。本文提出了一种利用超宽带微波技术检测乳腺肿瘤的计算方法。所提出的技术基于人工神经网络ANN的使用。

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