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| - | ===== Toward Automatic Phenotyping of Developing Embryos from Videos ===== | ||
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| - | We describe a trainable system for analyzing videos of developing | ||
| - | //C. elegans// embryos. The system automatically detects, segments, and | ||
| - | locates cells and nuclei in microscopic images. The system was | ||
| - | designed as the central component of a fully-automated phenotyping | ||
| - | system. | ||
| - | network trained classify each pixel into five categories: cell wall, | ||
| - | cytoplasm, nucleus membrane, nucleus, outside medium; (2) an | ||
| - | Energy-Based Model which cleans up the output of the convolutional | ||
| - | network by learning local consistency constraints that must be | ||
| - | satisfied by label images; (3) A set of elastic models of the embryo | ||
| - | at various stages of development that are matched to the label | ||
| - | images. | ||
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| - | <box 99% orange> | ||
| - | Feng Ning, Damien Delhomme, Yann LeCun, Fabio Piano, Léon Bottou and Paolo Emilio Barbano: Toward Automatic Phenotyping of Developing Embryos from Videos, | ||
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| - | [[http:// | ||
| - | [[http:// | ||
| - | [[http:// | ||
| - | </ | ||
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| - | @article{ning-delhomme-2005, | ||
| - | author = {Ning, Feng and Delhomme, Damien and Yann {LeCun} and Piano, Fabio and Bottou, {L\' | ||
| - | title = {Toward Automatic Phenotyping of Developing Embryos from Videos}, | ||
| - | journal = {IEEE Transactions in Image Processing}, | ||
| - | year = {2005}, | ||
| - | volume = {14}, | ||
| - | number = {9}, | ||
| - | pages = {1360-1371}, | ||
| - | month = {September}, | ||
| - | url = {http:// | ||
| - | } | ||