Toward a method for automatic grading of microscope human embryo images
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Using a geometric formulation of annular-like shape priors for constraining variational level-sets
Pattern Recognition Letters
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
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An important prognostic parameter for assessing the success of an in vitro fertilization treatment is the variation in thickness of the zona pellucida. Zona pellucida, the envelope of the human embryo, is usually visualized using Hoffman modulation contrast microscopy (HMC). The paper addresses the problem of segmenting the zona pellucida in HMC images of embryos. We propose a variational method based on an image model for the zona which takes advantage of the characteristic appearance of HMC images. The simple topology of the embryo allows us to focus on parametric models. Our approach is partly inspired by the works of Chan and Vese, to which it has some similarities.