应用神经网络诊断心肌梗死的超声心动图研究

Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ Pub Date : 1993-12-01 DOI:10.1109/IEMBS.1993.978530

Cheng Yi, E. Micheli-Tzanakou, D. Shindler, J. Kostis

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引用次数: 3

摘要

超声心肌超声心动图是一种很有前途的诊断心肌梗死的方法。我们将超声心动图图像数字化，研究超声后向散射在疤痕组织检测中的应用。神经网络分析是一种成功的疤痕检测方法。我们结合反馈优化算法ALOPEX改进了多层感知器的结构，使其更具通用性，并引入了带噪声的train-

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Study of echocardiogram for myocardial infarction using neural networks

Ultrasonic myocardial echocardiogram is a promising approach to diagnosing myocardial infarctioni'l. We digitize echocardiographic images to study ultrasound backscatter for scar tissue detection. Neural network analysis is a successful approach to scar detection121. We improve the structure of multi-layer perceptton combined with the feedback optimization algorithm ALOPEX to make it more general and we also introduce the noisy train-

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Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ

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