Automatic Detection of Pulmonary Embolism using Computational Intelligence

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dc.creatorScurrell, Simon
dc.creatorMarwala, Tshilidzi
dc.creatorRubin, David
dc.date2007-06-03
dc.date.accessioned2026-07-07T08:03:58Z
dc.date.available2026-07-07T08:03:58Z
dc.descriptionThis 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.
dc.description5 pages
dc.identifierhttps://arxiv.org/abs/0706.0300
dc.identifierhttp://arxiv.org/abs/0706.0300
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/129776
dc.subjectComputer Vision and Pattern Recognition
dc.titleAutomatic Detection of Pulmonary Embolism using Computational Intelligence
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