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Application of Deep Learning Algorithm in Cervical Cancer MRI Image Segmentation Based on Wireless Sensor

机译:基于无线传感器的宫颈癌MRI图像分割中深度学习算法的应用

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摘要

With the development of medical technology in China, new difficulties are gradually emerging in traditional medicine. Cervical cancer MRI image segmentation technology based on wireless network is one of the most famous means. But the traditional technology is not strong enough for information processing and analysis. Manual data processing alone may lead to errors in data processing and so on. Therefore, this research was aimed at the MRI image segmentation technology of cervical cancer based on wireless network, using depth learning algorithm to calculate and analyze. Through this kind of wireless network and the computer algorithm form, the data processing ability can be improved and increase the data processing ability be increased.
机译:随着中国医疗技术的发展,新的困难在传统医学中逐渐涌现。 基于无线网络的宫颈癌MRI图像分割技术是最着名的手段之一。 但传统技术不足以用于信息处理和分析。 单独的手动数据处理可能导致数据处理中的错误等。 因此,本研究旨在基于无线网络的宫颈癌MRI图像分割技术,使用深度学习算法计算和分析。 通过这种无线网络和计算机算法形式,可以提高数据处理能力并提高数据处理能力增加。

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