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Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists
Research article (Patterns, 2023) · cited 36× · AI/ML
Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists
Summary
Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists is a scholarly article[1].
Key Facts
Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists. Retrieved May 24, 2026, from https://4ort.xyz/entity/restaining-based-annotation-for-cancer-histology-segmentation-to-overcome-annotation-related-limitations-among-pathologi
MLA“Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/restaining-based-annotation-for-cancer-histology-segmentation-to-overcome-annotation-related-limitations-among-pathologi.
BibTeX@misc{4ortxyz_restaining-based-annotation-for-cancer-histology-segmentation-to-overcome-annotation-related-limitations-among-pathologi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists}}, year = {2026}, url = {https://4ort.xyz/entity/restaining-based-annotation-for-cancer-histology-segmentation-to-overcome-annotation-related-limitations-among-pathologi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists — https://4ort.xyz/entity/restaining-based-annotation-for-cancer-histology-segmentation-to-overcome-annotation-related-limitations-among-pathologi (retrieved 2026-05-24)
