Segmentation of Coronary Angiograms Using Gabor Filters and Boltzmann Univariate Marginal Distribution Algorithm

This paper presents a novel method for improving the training step of the single-scale Gabor filters by using the Boltzmann univariate marginal distribution algorithm (BUMDA) in X-ray angiograms. Since the single-scale Gabor filters (SSG) are governed by three parameters, the optimal selection of th...

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Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Comput Intell Neurosci
Asıl Yazarlar: Cervantes-Sanchez, Fernando, Cruz-Aceves, Ivan, Hernandez-Aguirre, Arturo, Aviña-Cervantes, Juan Gabriel, Solorio-Meza, Sergio, Ornelas-Rodriguez, Manuel, Torres-Cisneros, Miguel
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Hindawi Publishing Corporation 2016
Konular:
Research Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC5056001/
https://ncbi.nlm.nih.gov/pubmed/27738422
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/2420962
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