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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...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2021-10-01
Schriftenreihe:Mathematics
Schlagworte:
Online-Zugang:https://www.mdpi.com/2227-7390/9/19/2471
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