<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Constantin Pape</submitter><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-BAIR1</full_dataset_link><repository>biostudies-other</repository><pubmed_authors>Fynn Beuttenmüller</pubmed_authors><pubmed_authors>Constantin Pape</pubmed_authors></additional><is_claimable>false</is_claimable><name>Nucleus segmentation for fluorescence microscopy</name><description>This model segments nuclei in fluorescence microscopy images.
It predicts boundary maps and foreground probabilities for nucleus segmentation in
different light microscopy modalities, mainly with DAPI staining.
The boundaries can be processed e.g. with Multicut or Watershed to obtain an instance segmentation.</description><dates><release>2022-06-15T00:00:00Z</release><modification>2026-05-27T14:42:24.809Z</modification><creation>2025-07-11T13:50:21.045Z</creation></dates><accession>S-BAIR1</accession><cross_references><Zenodo>https://doi.org/10.5281/zenodo.5764892</Zenodo><Validation script>https://github.com/constantinpape/torch-em/tree/main/experiments/dsb/validate_model.py</Validation script><Training library>https://doi.org/10.5281/zenodo.5108852</Training library><Training script>https://github.com/constantinpape/torch-em/tree/main/experiments/dsb</Training script><BioImage___IO>https://bioimage.io/#/artifacts/affable-shark</BioImage___IO></cross_references></HashMap>