@inproceedings{c5270556b3444758a382fce35c75df21,
title = "A linear chain markov model for detection and localization of cells in early stage embryo development",
abstract = "We address the problem of detecting and localizing cells in time lapse microscopy images during early stage embryo development. Our approach is based on a linear chain Markov model that estimates the number and location of cells at each time step. The state space for each time step is derived from a randomized ellipse fitting algorithm that attempts to find individual cell candidates within the embryo. These cell candidates are combined into embryo hypotheses, and our algorithm finds the most likely sequence of hypotheses over all time steps. We restrict our attention to detect and localize up to four cells, which is sufficient for many important applications such as predicting blast cyst and can be used for assessing embryos in vitro fertilization procedures. We evaluate our method on twelve sequences of developing embryos and find that we can reliably detect and localize cells up to the four cell stage.",
author = "Aisha Khan and Stephen Gould and Mathieu Salzmann",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015 ; Conference date: 05-01-2015 Through 09-01-2015",
year = "2015",
month = feb,
day = "19",
doi = "10.1109/WACV.2015.76",
language = "English",
series = "Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "526--533",
booktitle = "Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015",
address = "United States",
}