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). Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations. Retrieved May 24, 2026, from https://4ort.xyz/entity/generalised-dice-overlap-as-a-deep-learning-loss-function-for-highly-unbalanced-segmentations
MLA“Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generalised-dice-overlap-as-a-deep-learning-loss-function-for-highly-unbalanced-segmentations.
BibTeX@misc{4ortxyz_generalised-dice-overlap-as-a-deep-learning-loss-function-for-highly-unbalanced-segmentations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations}}, year = {2026}, url = {https://4ort.xyz/entity/generalised-dice-overlap-as-a-deep-learning-loss-function-for-highly-unbalanced-segmentations}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations — https://4ort.xyz/entity/generalised-dice-overlap-as-a-deep-learning-loss-function-for-highly-unbalanced-segmentations (retrieved 2026-05-24)