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Back Cover: A novel multiphoton microscopy images segmentation method based on superpixel and watershed (J. Biophotonics 4/2017)
Publication year - 2017
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201770044
Subject(s) - biophotonics , segmentation , artificial intelligence , microscopy , watershed , computer vision , computer science , image segmentation , market segmentation , cover (algebra) , scale space segmentation , pattern recognition (psychology) , optics , physics , photonics , engineering , marketing , business , mechanical engineering
Automatic and accurate segmentation of cellular architectural properties for biomedical diagnosis based on Multiphoton microscopy (MPM) images is still a challenging issue. This Paper, a novel multiphoton microscopy images segmentation method based on Superpixels and watershed (MSW) shows great segmentation performance in extracted cell boundaries. What more, the method would potentially serve as an effective segmentation method for MPM images. Further details can be found in the article by Weilin Wu et al. on pp. 532–541.