Cell Segmentation using Stable Extremal Regions in Multi-Exposure Microscopy Images
We propose a novel cell segmentation approach by extracting Multi-exposure Maximally Stable Extremal Regions (MMSER) in phase contrast microscopy images on the same cell dish. Using our method, cell regions can be well identified by considering the maximally stable regions with response to different camera exposure times. Meanwhile, halo artifacts with regard to cells at different stages are leveraged to identify cells' stages. The experimental results validate that high quality cell segmentation and cell stage classification can be achieved by our approach.
M. Li and Z. Yin, "Cell Segmentation using Stable Extremal Regions in Multi-Exposure Microscopy Images," Proceedings of the International Symposium on Biomedical Imaging (2015, Prague, Czech Republic), vol. 2016, pp. 526-530, Institute of Electrical and Electronics Engineers (IEEE), Jun 2016.
The definitive version is available at https://doi.org/10.1109/ISBI.2016.7493323
International Symposium on Biomedical Imaging (2015: Apr. 13-16, Prague, Czech Republic)
Intelligent Systems Center
Keywords and Phrases
Cytology; Image Segmentation; Medical Imaging; Microscopic Examination; Cell Segmentation; Different Stages; Halo Artifact; High Quality; Maximally Stable Extremal Regions; Microscopy Images; Multi Exposure; Stable Region; Cells; Microscopy
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.