用于乳房x光异常检测的识别FPGA系统

Y. Suarez-Hernandez, Duchen Gonzalo, Ponomaryov Volodymyr
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引用次数: 1

摘要

在FPGA平台上实现的乳房x线照片中肿瘤的识别与PC机的结果评估非常相似。该程序误差小于0.6%,可用于其他需要使用神经网络的图像处理应用,在图像特征识别方面取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition FPGA system for detection of anomalies in mammograms
The recognizing of cancer in mammograms implemented on the FPGA platform is pretty much similar than PC result evaluation. With less than 0.6% error, this program can be used in other image processing applications that require the neural networks employment with good results in characteristic recognizing of the images.
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