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首页> 外文会议>International Conference on Artificial Intelligence and Pattern Recognition >Ultra-wideband scattered microwave signals for detection of breast tumors using artifical neural networks
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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，用于检测人工神经网络的乳腺肿瘤

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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：由于它们在许多领域（如医学，生物学和其他科学）中的各种应用，微波散射信号具有重要意义。微波散射信号是身体中电性质分布的地图。微波的非电离特性使其成为有希望的方法，从而允许经常检查。微波电子和测试仪器成熟，紧凑，与X射线或MRI设备相比相对便宜。神经网络在今天的世界抓住了大规模的关注，神经网络在许多技术领域的广泛应用方面导致了高可能性。使用ANN增加大部分方法的准确性，并降低了人类专家的需求。本文采用UTRA宽带微波技术检测乳腺肿瘤的提出计算方法。所提出的技术基于使用人工神经网络ANN的使用。

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