@inproceedings{934a564c9ec54d6b8cb074586c003fa6,
title = "Cell segmentation via spectral analysis on phase retardation features",
abstract = "In this paper, the authors propose a cell segmentation algorithm via spectral analysis over phase retardation features, which are derived from the optical principle of phase contrast microscopy image formation process. Images are first partitioned into phase-homogeneous atoms by clustering neighboring pixels with similar phase retardation features. Cell segmentation is then performed by clustering the atoms into several clusters using multi-class spectral analysis. Experimental results demonstrate that our method generates quality cell segmentation results and outperforms previous methods.",
keywords = "cell segmentation, phase contrast microscopy image analysis, phase retardation feature, spectral analysis",
author = "Hang Su and Zhaozheng Yin and Seungil Huh and Takeo Kanade",
year = "2013",
doi = "10.1109/ISBI.2013.6556814",
language = "English",
isbn = "9781467364546",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "1477--1483",
booktitle = "ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging",
note = "10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 ; Conference date: 07-04-2013 Through 11-04-2013",
}