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Automatic Feature Selection for Stenosis Detection in X-ray Coronary Angiograms

The automatic detection of coronary stenosis is a very important task in computer aided diagnosis systems in the cardiology area. The main contribution of this paper is the identification of a suitable subset of 20 features that allows for the classification of stenosis cases in X-ray coronary image...

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Autori principali: Miguel-Angel Gil-Rios, Igor V. Guryev, Ivan Cruz-Aceves, Juan Gabriel Avina-Cervantes, Martha Alicia Hernandez-Gonzalez, Sergio Eduardo Solorio-Meza, Juan Manuel Lopez-Hernandez
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2021-10-01
Serie:Mathematics
Soggetti:
coronary stenosis
feature selection
support vector machines
Univariate Marginal Distribution Algorithm
X-ray imaging
Accesso online:https://www.mdpi.com/2227-7390/9/19/2471
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