2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008) Outline Detection for the HEp-2 Cell in Indirect Immunofluorescence Images Using Watershed Segmentation June 11-June 13 ISBN: 978-0-7695-3158-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SUTC.2008.72
An automatic inspection system for antinuclear autoantibodies (ANA) testing can be divided into HEp-2 cell detection, fluorescence pattern classification and computer aided diagnosis phases. This paper presented a multi-staged segmentation method for automatically detecting outlines of fluorescence cells in Indirect immunofluorescence (IIF) images. The similarity-based watershed algorithm performed the marker to prevent over-segmentation. This paper evaluated 2305 autoantibody fluorescence patterns with manual sketched outlines (including 456 diffuse patterns, 417 peripheral patterns, 719 coarse speckled patterns, 55 fine speckled patterns, 517 discrete speckled patterns and 141 nucleolar patterns) from 44 IIF images. The experimental results revealed that the proposed method can practically outline fluorescence cells from IIF images.
Citation:
Yu-Len Huang, Chia-Wei Chung, Tsu-Yi Hsieh, Yu-Lang Jao, "Outline Detection for the HEp-2 Cell in Indirect Immunofluorescence Images Using Watershed Segmentation," sutc, pp.423-427, 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008), 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||