基于计算智能的肺栓塞自动检测
计算机视觉与模式识别
2007-06-05 v1
摘要
本文描述了一个用于在肺部扫描图像中自动检测肺栓塞存在与否的系统的实现过程。首先对这些图像进行分割,然后利用 PCA 进行配准与特征提取。神经网络采用混合蒙特卡罗方法进行训练,最终得到一个由 250 个神经网络组成的委员会,并取得了良好的结果。
引用
@article{arxiv.0706.0300,
title = {Automatic Detection of Pulmonary Embolism using Computational Intelligence},
author = {Simon Scurrell and Tshilidzi Marwala and David Rubin},
journal= {arXiv preprint arXiv:0706.0300},
year = {2007}
}
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