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首页> 外文期刊>Nuclear Instruments & Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment >The CALMA system: an artificial neural network method for detecting masses and microcalcifications in digitized mammograms
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The CALMA system: an artificial neural network method for detecting masses and microcalcifications in digitized mammograms

机译：CALMA系统：一种人工神经网络方法，用于检测数字化乳房X线照片中的质量和微钙化

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摘要

The Computer Assisted Library for MAmmography (CALMA) project is a 5 years plan developed in a physics research frame in collaboration between Istituto Nazionale di Fisica Nucleare and many Italian hospitals. At present a large database of digitized mammographic images (more than 6000) was collected and a software based on neural network algorithms for the search of suspicious breast lesions was developed. Two tools are available: a microcalcification clusters hunter, based on supervised and unsupervised feedforward neural network, and a massive lesion searcher, based on a hibrid approach. Both the algorithms analyzed preprocessed digitized images by high-frequency filters. Clinical tests were performed to evaluate sensitivity and specificity of the system, considering the system as alone and as second reader. Results show that the system is ready to be implemented by medical industry. The CALMA project, just ended, has its natural development in the Grid Platform for CALMA project, where distributed users join common resources (images, tools, and statistical analysis).
机译：乳房X线计算机辅助图书馆（CALMA）项目是一项5年计划，是在Istituto Nazionale di Fisica Nucleare与许多意大利医院合作的物理研究框架中制定的。目前，已收集了大量的数字化乳腺X线摄影图像（超过6000张），并开发了基于神经网络算法的可疑乳腺病变搜索软件。有两种工具可用：基于有监督和无监督前馈神经网络的微钙化簇猎人，以及基于混合方法的大型病变搜索器。两种算法都通过高频滤波器分析了预处理的数字化图像。考虑到该系统是单独的还是第二读者，进行了临床测试以评估该系统的敏感性和特异性。结果表明，该系统已准备好由医疗行业实施。刚刚结束的CALMA项目在CALMA项目的网格平台中得到了自然发展，分布式用户在该平台上加入了公共资源（图像，工具和统计分析）。

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