Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Segmentation of Zona Pellucida in HMC Images of Human Embryos
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Level Set Evolution without Re-Initialization: A New Variational Formulation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
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The precise assessment of embryo viability is an extremely important factor for the optimisation of the in vitro fertilisation procedure. In order to assess embryo viability, several embryo scoring systems have been developed. However, they rely mostly on the subjective visual analysis of the embryo morphological features. For instance, an important feature for evaluation of embryos at the day 5 post-fertilisation is the number of cells in the embryo outer layer. In this paper, we present a new method for automation of embryo grading. Based on a polar coordinate version of the input image, we estimated the number of cells in the selected plane of focus using the fractal dimension. A correlation coefficient of 0.81 (n=25) between fractal dimension and the number of cells was found. We also present first segmentation results and highlight challenges that lie ahead.