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Message definition (Artificial Intelligence )
The next stage gives us a more sophisticated way of determining where boundaries lie between cell branches. This is known as “affinity graph labeling.” The affinity graph considers all the material in a given segment and makes decisions about where the boundaries lie between objects. The AI will look at each voxel, or “volume pixel” (imagine a 3D pixel), and determine the probability that it belongs to the same object as it’s neighbors. By determining the “affinity” any given voxel has with all adjacent voxels, the AI can begin to group objects and separate them from one another.
The next stage gives us a more sophisticated way of determining where boundaries lie between cell branches. This is known as “affinity graph labeling.” The affinity graph considers all the material in a given segment and makes decisions about where the boundaries lie between objects. The AI will look at each voxel, or “volume pixel” (imagine a 3D pixel), and determine the probability that it belongs to the same object as it’s neighbors. By determining the “affinity” any given voxel has with all adjacent voxels, the AI can begin to group objects and separate them from one another. Translation The next stage gives us a more sophisticated way of determining where boundaries lie between cell branches. This is known as “affinity graph labeling.” The affinity graph considers all the material in a given segment and makes decisions about where the boundaries lie between objects. The AI will look at each voxel, or “volume pixel” (imagine a 3D pixel), and determine the probability that it belongs to the same object as it’s neighbors. By determining the “affinity” any given voxel has with all adjacent voxels, the AI can begin to group objects and separate them from one another. The next stage gives us a more sophisticated way of determining where boundaries lie between cell branches. This is known as “affinity graph labeling.” The affinity graph considers all the material in a given segment and makes decisions about where the boundaries lie between objects. The AI will look at each voxel, or “volume pixel” (imagine a 3D pixel), and determine the probability that it belongs to the same object as it’s neighbors. By determining the “affinity” any given voxel has with all adjacent voxels, the AI can begin to group objects and separate them from one another.
