Multimodal Pseudo-Ground Truth for Deep Learning-Based Whole-Cell Segmentation in H&E Images with Spatial Transcriptomic Mapping
A multimodal pseudo-ground truth training technique to enable supervised feature learning on H&E images for whole-cell segmentation and adapted into a ST pipeline to create an integrated end-to-end machine learning solution, without additional optimisation on ST data.
A.-A. Zhang, Ulrich D. Kadolsky, A. Saxena
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