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As we know, intuitively, anatomical controlled vocabulary terms provide evidence for the stage label and vice versa.
Other than only using image-to-image relevance conducted by existing methods, we can directly predict the stage label and annotate anatomical controlled terms for unknown image bags.
(20) (21) Since the stage prediction is a single-label classification problem, we select the stage label y(i) c * with the maximum probability as the stage label for image bag x i. (22) where is the i-th row vector of matrix P nc *.
Via the new TG model that we constructed, the relationships between stage label and anatomical controlled terms as well as the correlations among anatomical terms can be naturally and explicitly exploited by the graph-based semi-supervised learning methods.
In other words, relevant anatomical terms could help us to predict the stage label since they provide the spatial and temporal information of local structure corresponding to a specific embryo development stage.
In this article, we propose a novel Tri-Relational Graph (TG) model that comprises the data graph, anatomical controlled terms graph, developmental stage label graph to jointly classify the stage of images and annotate anatomical terms simultaneously.
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If the player is able to exploit a bug that allows Mario to pass through bricks, the player can enter the warp zone by passing through the wall and the pipe to World 4-1 may instead transport the player to a stage labeled "World -1".
A minor difference between these two predictors was that, upstream, the granular cells, the architecture of the predictor Π* included an additional processing stage (labeled preprocessing layer) such simple operations could be done for instance in pre-cerebellar nuclei or in the glomeruli (Figure 1C).
Our procedure is to train our model with stage labeled and anatomical term annotated image bags.
A new PRW method was introduced to simultaneously propagate the stage labels and anatomical controlled terms via TG model.
We have manually annotated a collection of images with precise stage labels for 3724 standardized Berkeley Drosophila Genome Project (BDGP) images (in lateral view) in FlyExpress.
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Justyna Jupowicz-Kozak
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