Overlap-aware segmentation for topological reconstruction of obscured objects

ArXi:2510.06194v2 Announce Type: replace-cross The separation of overlapping objects presents a significant challenge in scientific imaging. While deep learning segmentation-regression algorithms can predict pixel-wise intensities, they typically treat all regions equally rather than prioritizing overlap regions where attribution is most ambiguous. Recent advances in instance segmentation show that weighting regions of pixel overlap in