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Nuclei Detection Based on Secant Normal Voting with Skipping Ranges in Stained Histopathological Images
2018
IEICE transactions on information and systems
XueTing LIM †a) , Nonmember, Kenjiro SUGIMOTO †b) , and Sei-ichiro KAMATA †c) , Members SUMMARY Seed detection or sometimes known as nuclei detection is a prerequisite step of nuclei segmentation which plays a critical role in quantitative cell analysis. The detection result is considered as accurate if each detected seed lies only in one nucleus and is close to the nucleus center. In previous works, voting methods are employed to detect nucleus center by extracting the nucleus saliency
doi:10.1587/transinf.2017edp7326
fatcat:c4fmanr6qnbdzjuuztn3xb4sbq