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...

书目详细资料
发表在:	IEEE CITS 2012 - 2012 International Conference on Computer, Information and Telecommunication Systems
主要作者:	Osman M.K.; Mashor M.Y.; Jaafar H.
格式:	Conference paper
语言:	English
出版:	2012
在线阅读:	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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