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. Author manuscript; available in PMC: 2023 Jan 1.
Published in final edited form as: Comput Med Imaging Graph. 2021 Nov 19;95:102013. doi: 10.1016/j.compmedimag.2021.102013

Table 4:

An overview of datasets contributed to the segmentation challenge.

Dataset name References Data type Segmentation Task Deliverables
Vanderbilt_live_cell Tyson DR, unpublished Time-lapse imaging of fluorescent nuclei in drug-treated cells Nuclear boundaries of viable cells (exclude nuclear fragmentation) Nuclear segmentation map
Vanderbilt_colon https://doi.org/10.1172/jci.insight.93487 MxIF of colon cancer (nuclei + 9 channels) Plasma membrane boundaries Nuclear segmentation map & whole-cell segmentation map
Harvard_lung https://doi.org/10.1038/s41597-019-0332-y CycIF of lung cancer (only nuclear channel) Nuclear boundaries Nuclear segmentation map
OHSU_BrCa https://doi.org/10.1007/978-1-4939-9773-2_24 CycIF of breast cancer (nuclei + 3 channels) Nuclear and plasma membrane boundaries Nuclear segmentation map & whole-cell segmentation map
UNC_PCNA https://doi.org/10.15252/msb.20188604 Time-lapse imaging of nuclear-localized protein Nuclear foci Nuclear segmentation map & whole-image intranuclear spot map