Automatic Detection of Pulmonary Embolism using Computational Intelligence

Details Automatic Detection of Pulmonary Embolism using Computational Intelligence Automatic Detection of Pulmonary Embolism using Computational Intelligence

2007-06-03

arxiv.org/abs/0706.0300v1

Computer Science

Computer Vision and Pattern Recognition

5 pages

Scientific paper

This article describes the implementation of a system designed to
automatically detect the presence of pulmonary embolism in lung scans. These
images are firstly segmented, before alignment and feature extraction using
PCA. The neural network was trained using the Hybrid Monte Carlo method,
resulting in a committee of 250 neural networks and good results are obtained.

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