Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation

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Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation

Image segmentation is a key step in most medical image analysis. However, the process is particularly difficult due to limitation of the imaging equipments and variation in biological system. Therefore, accurate and robust segmentation are important for quantitative assessment of medical images in o...

書誌詳細
出版年:	IEEE CITS 2012 - 2012 International Conference on Computer, Information and Telecommunication Systems
第一著者:	Osman M.K.; Mashor M.Y.; Jaafar H.
フォーマット:	Conference paper
言語:	English
出版事項:	2012
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864253627&doi=10.1109%2fCITS.2012.6220378&partnerID=40&md5=480a1473dfd9baf2a1dd75a1bde65764

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