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). Image segmentation of adhesive ores based on MSBA-Unet and convex-hull defect detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-segmentation-of-adhesive-ores-based-on-msba-unet-and-convex-hull-defect-detection
MLA“Image segmentation of adhesive ores based on MSBA-Unet and convex-hull defect detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-segmentation-of-adhesive-ores-based-on-msba-unet-and-convex-hull-defect-detection.
BibTeX@misc{4ortxyz_image-segmentation-of-adhesive-ores-based-on-msba-unet-and-convex-hull-defect-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image segmentation of adhesive ores based on MSBA-Unet and convex-hull defect detection}}, year = {2026}, url = {https://4ort.xyz/entity/image-segmentation-of-adhesive-ores-based-on-msba-unet-and-convex-hull-defect-detection}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image segmentation of adhesive ores based on MSBA-Unet and convex-hull defect detection — https://4ort.xyz/entity/image-segmentation-of-adhesive-ores-based-on-msba-unet-and-convex-hull-defect-detection (retrieved 2026-05-24)
