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Our model overcomes issues of overlapping cells, blurred boundaries and sparse labeling, ensuring balanced handling of complex cases and background noise which significantly boosts segmentation accuracy and model robustness.
Robustness: we evaluated the proposed model with 3 clinical datasets of 2 different kinds of cancer.
Probit regression loses some of this robustness.
data. Probit regression loses some of this robustness.
It does raise a question about the robustness of internal control controls around the new system.
It does raise a question about the robustness of internal controls around the new system.
This test was set up to show the robustness of the new Volvo FMX.