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Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance

Research article (Neurocomputing, 2023) · cited 21× · AI/ML
academia openalex:W4376109476
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Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance

Summary

Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance is a scholarly article[1].

Key Facts

  • Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance. Retrieved May 24, 2026, from https://4ort.xyz/entity/accurate-polyp-segmentation-through-enhancing-feature-fusion-and-boosting-boundary-performance
MLA “Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accurate-polyp-segmentation-through-enhancing-feature-fusion-and-boosting-boundary-performance.
BibTeX @misc{4ortxyz_accurate-polyp-segmentation-through-enhancing-feature-fusion-and-boosting-boundary-performance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance}}, year = {2026}, url = {https://4ort.xyz/entity/accurate-polyp-segmentation-through-enhancing-feature-fusion-and-boosting-boundary-performance}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance — https://4ort.xyz/entity/accurate-polyp-segmentation-through-enhancing-feature-fusion-and-boosting-boundary-performance (retrieved 2026-05-24)

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