Segmentation quality assessment by automated detection of erroneous surface regions in medical images
Summary
Segmentation quality assessment by automated detection of erroneous surface regions in medical images is a scholarly article[1].
Key Facts
Segmentation quality assessment by automated detection of erroneous surface regions in medical images's instance of is recorded as scholarly article[2].
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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). Segmentation quality assessment by automated detection of erroneous surface regions in medical images. Retrieved May 24, 2026, from https://4ort.xyz/entity/segmentation-quality-assessment-by-automated-detection-of-erroneous-surface-regions-in-medical-images
MLA“Segmentation quality assessment by automated detection of erroneous surface regions in medical images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/segmentation-quality-assessment-by-automated-detection-of-erroneous-surface-regions-in-medical-images.
BibTeX@misc{4ortxyz_segmentation-quality-assessment-by-automated-detection-of-erroneous-surface-regions-in-medical-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Segmentation quality assessment by automated detection of erroneous surface regions in medical images}}, year = {2026}, url = {https://4ort.xyz/entity/segmentation-quality-assessment-by-automated-detection-of-erroneous-surface-regions-in-medical-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Segmentation quality assessment by automated detection of erroneous surface regions in medical images — https://4ort.xyz/entity/segmentation-quality-assessment-by-automated-detection-of-erroneous-surface-regions-in-medical-images (retrieved 2026-05-24)
