Vibert Jean -François, Valleron Alain -Jacques
Hôpital Saint-Antoine, Paris, France.
AMIA Annu Symp Proc. 2003;2003:684-8.
The nervous system is a powerful information processing machine, especially for vision. Neuromimetic methods try to extract some of the most powerful strategies of the neural system to apply them to help to solve delicate engineering problems. We developed such a method to extract images hidden into noisy background. This method mimics one characteristic of the retina which is a sensor that automatically adapts to the image characteristics and realizes outlines extraction and adaptative filtering, based on its network properties. We applied this method to detect automatically the clusters of microcalcifications in mammographies. Results were tested using the standardized data set DDSM, designed to test the automatic detection methods. We show that our "retina" can extract most of the microcalcifications that can be grouped together into clusters.
神经系统是一个强大的信息处理机器，尤其是在视觉方面。神经仿生方法试图提取神经系统中一些最强大的策略，将其应用于帮助解决复杂的工程问题。我们开发了一种方法来提取隐藏在噪声背景中的图像。该方法模仿了视网膜的一个特性，视网膜是一种传感器，它能根据图像特征自动适应，并基于其网络特性实现轮廓提取和自适应滤波。我们将此方法应用于自动检测乳腺X光片中的微钙化簇。使用标准化数据集DDSM对结果进行了测试，该数据集旨在测试自动检测方法。我们表明，我们的“视网膜”能够提取出大部分可聚集成簇的微钙化。
