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 Semantic Segmentation TCGE Framework
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Segmentation TGCE is a tool for semantic segmentation of images in the
context of multiple annotators.

This tools performs a segmentation task by learning from different
sources (annotators) and combining them to obtain a better segmentation.
The training algorithm does not require performance metrics from the
annotators as an input, but it learns the annotators' performance from
the data, which behaves as a latent variable and regularizes the
learning process for "learning" more from the most reliable annotators.

Once learnt, the model can be used to predict the segmentation of new
images with a better performance than any of the individual annotators.

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 Learn more:
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.. toctree::
   :maxdepth: 2

   introduction
   elements/loss
   elements/cnn
   experiments
   contribution

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 Indices and tables
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-  :ref:`genindex`
-  :ref:`search`