Enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects
Automated detection and identification of abnormal cells in the human body is a critical application for medical image computing. Enhancement and de-noising of images remain challenging tasks and imperative steps for image analysis algorithms. Indeed, due to its early role in the process, the result...
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| Main Authors: | , , , , , |
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| Format: | Article |
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Springer Verlag
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992738123&doi=10.1007%2f978-981-10-1721-6_35&partnerID=40&md5=c52603135aaa15a4fb9684e0dd34e8b5 http://eprints.utp.edu.my/20309/ |
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