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USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging
Summary
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging is a scholarly article[1].
Key Facts
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging'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). USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/use-evaluator-performance-metrics-for-medical-image-segmentation-models-supervised-by-uncertain-small-or-empty-reference
MLA“USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/use-evaluator-performance-metrics-for-medical-image-segmentation-models-supervised-by-uncertain-small-or-empty-reference.
BibTeX@misc{4ortxyz_use-evaluator-performance-metrics-for-medical-image-segmentation-models-supervised-by-uncertain-small-or-empty-reference_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging}}, year = {2026}, url = {https://4ort.xyz/entity/use-evaluator-performance-metrics-for-medical-image-segmentation-models-supervised-by-uncertain-small-or-empty-reference}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging — https://4ort.xyz/entity/use-evaluator-performance-metrics-for-medical-image-segmentation-models-supervised-by-uncertain-small-or-empty-reference (retrieved 2026-05-24)
