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A unified graphical models framework for automated human embryo tracking in time lapse microscopy

Moussavi, Farshid; Wang, Y.; Lorenzen, P.; Oakley, J.; Russakoff, D.; Gould, Stephen

Description

Time lapse microscopy has emerged as an important modality for studying early human embryo development. Detection of certain events can provide insight into embryo health and fate. Embryo tracking is challenged by a high dimensional search space, weak features, outliers, occlusions, missing data, multiple interacting deformable targets, changing topology, and a weak motion model. We address these with a data driven approach that uses a rich set of discriminative image and geometric features and...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Conference paper
URI: http://hdl.handle.net/1885/67937
Source: 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

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