DDR-Unet: A High-Accuracy and Efficient Ore Image Segmentation Method

Research article (IEEE Transactions on Instrumentation and Measurement, 2023) · cited 24× · AI/ML
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DDR-Unet: A High-Accuracy and Efficient Ore Image Segmentation Method

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DDR-Unet: A High-Accuracy and Efficient Ore Image Segmentation Method is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DDR-Unet: A High-Accuracy and Efficient Ore Image Segmentation Method. Retrieved May 24, 2026, from https://4ort.xyz/entity/ddr-unet-a-high-accuracy-and-efficient-ore-image-segmentation-method
MLA “DDR-Unet: A High-Accuracy and Efficient Ore Image Segmentation Method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ddr-unet-a-high-accuracy-and-efficient-ore-image-segmentation-method.
BibTeX @misc{4ortxyz_ddr-unet-a-high-accuracy-and-efficient-ore-image-segmentation-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DDR-Unet: A High-Accuracy and Efficient Ore Image Segmentation Method}}, year = {2026}, url = {https://4ort.xyz/entity/ddr-unet-a-high-accuracy-and-efficient-ore-image-segmentation-method}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DDR-Unet: A High-Accuracy and Efficient Ore Image Segmentation Method — https://4ort.xyz/entity/ddr-unet-a-high-accuracy-and-efficient-ore-image-segmentation-method (retrieved 2026-05-24)

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