Histo-Miner: SCC-Hovernet and SCC-Segmenter Weights

Description Checkpoints of SCC Segmenter and SCC Hovernet models from Histo-Miner paper. SCC Hovernet model was trained on NucSeg dataset SCC Segmenter model was trained on TumSeg dataset These weights can then be used for inference following Histo-Miner repository scripts: https://github.com/bozeklab/histo-miner. Funding notes Lucas Sancéré and Kasia Bozek were supported by the North Rhine-Westphalia return program (311-8.03.03.02-147635) and hosted by the Center for Molecular Medicine Cologne.

Related Organizations

University of Cologne
Germany

Keywords

models, deep learning, checkpoints, weights

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

0

Average