K-means clustering based angiographic image analysis to measure coronary stenosis

In this paper, we discuss parallelization of the tree-based k-means method and propose two different schemes based on pattern decomposition and parallel search of the k-d tree used

Yoksa bugün bazılarının, Alevîlik-Bektaşîlikte namazın bu günkü haliyle algılanan namaz olmadığı (Zelyut, 1990: 72-75), namaz, oruç ve hac gibi ibadetlerin kabul

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Türkiye Hazır Beton Birliği tarafından Beton Ankara 2014 Fu- arı paralel etkinliği olarak düzenlenen Beton Yollar Semineri 17 Nisan 2014 günü Ankara Congresium’da

Similar to the work of Clifton and Vaidya[12], we address privacy preserving k- means clustering problem over vertically partitioned data, where each involved party has a subset

In this episode the segmentation have been done by means of the proposed image segmentation algorithm FCM or Fuzzy C-Means. This time a*b* layers of test image

The exclusion criteria were as follows: presence of a second lesion at the index coronary artery or another coronary artery with a severity of ≥40% luminal narrowing on coronary

What makes this case interesting is that left internal mammarian artery (LIMA) was anastomosed to the left anterior descending artery (LAD); furthermore, the proximal anastomoses