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The zebrafish embryo is a common model organism for cardiac development and genetics. However, the current method of analyzing the embryo heart images is still mainly the manual and visual inspection through the microscope by scoring embryos visually a very laborious and expensive task for the biologist. We propose to automatically segment the embryo(More)
Recently, there has been an increasing interest to propose computational approaches based on image processing to automate the comparison of spatial gene expression patterns contained in transgenic embryo images. The first step is typically to classify the images between lateral and dorsal/ventral views, and then to align them along the anterior and(More)
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