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Title:
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AN SEMI-AUTOMATIC APPROACH FOR FAST STATISTICAL DATA EXTRACTION FROM AORTIC VALVE |
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Author(s):
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Aleksandrs Sisojevs, Rihards Starinskis, P?teris Stradi? |
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ISBN:
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978-989-8533-52-4 |
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Editors:
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Katherine Blashki and Yingcai Xiao |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Aortic valve, calcification, pattern recognition, segmentation |
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Type:
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Short Paper |
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First Page:
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293 |
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Last Page:
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297 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The statistical data of aortic valve is very important input information for medical diagnostics and anatomical pathology research. The approach for this data extraction is photo survey of aortic valve and next image processing. In this paper the authors have implemented different methods of pattern recognition for extracting the statistical data from photographic images. The modification of k-Nearest Neighbors method was proposed. The experimental results show the efficiency of the selected methods and proposed modification. |
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