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Example: The following image example displays H&E-stained mouse prostates along with annotations for ducts (green) and nuclei (purple).

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When training IKOSA AI to segment the duct structures (green) it is advantageous to apply a downscale factor that reduces the resolution of your images. That is because the ducts are large and the full resolution with fine image details is unnecessary for their segmentation. By doing so, both speed and accuracy can be enhanced.

In the example, we experimentally found that a downscale factor of approximately 5-10 produces good results.

However, when training to segment the nuclei (purple), it is crucial to have the full resolution showing all fine image details. Therefore, a downscale factor of 1 should be used to achieve optimal results.

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