THE PROBLEM
Our client needed quality instance segmentation performed on hundreds of cells. The client used an automated solution for the initial segmentation. However, it did not accurately label or annotate all the cells.
THE SOLUTION
Within 24hrs we put together a team of final year medical students with expertise in cell biology and image analysis. The team manually annotated the cells in grayscale microscopy images with varied cell types, using a combination of human expertise and AI tools to refine the segmentation algorithm.
Result: Achieved a segmentation accuracy rate of 95%.
Result: Achieved a segmentation accuracy rate of 95%.
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