ROBUST IMAGE SEGMENTATION USING FUZZY C-MEANS CLUSTERING WITH SPATIAL INFORMATION BASED ON TOTAL GENERALIZED VARIATION

Robust Image Segmentation Using Fuzzy C-Means Clustering With Spatial Information Based on Total Generalized Variation

Fuzzy c-means clustering (FCM) has proved highly successful in the manipulation and analysis of image information, such as image segmentation.However, the effectiveness of FCM-based technique is limited by its poor robustness to noise and edge-preserving during the segmentation process.To tackle these problems, a new objective function of FCM is de

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Spontaneous vertebral artery stenosis, dissection and cerebellar infarction in a gentleman while playing bowling.

Background: An increased incidence of vertebral artery dissection has recently become a recognized cause of acute stroke for about 1/5 of strokes in young patients.Case Presentation: A male in his 30s presented to the emergency department with sudden onset of severe vertigo, vomiting, and dizziness while he was playing bowling.The symptoms started

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Indoor Dust as a Matrix for Surveillance of COVID-19

ABSTRACT Ongoing disease surveillance is a critical tool to mitigate viral outbreaks, especially during a pandemic.Environmental monitoring has significant promise even following widespread vaccination among high-risk populations.The goal of this work is to demonstrate molecular severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) monitorin

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