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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:// | ||
- | } | ||