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Qustion about blank areas in inference labels
Hi,
I am working on FFN network training for a couple of weeks. However, the inference result is still not ideal. Large neurons are detected properly while many tiny neurons are left blank. I am wondering are there any method to refill these small blank areas?
Would appreciate any suggestions and insights.
Have you adjusted the min_segment_size in inference_options in the inference request? Its possible that the smaller sections are left out if they're smaller than that parameter.