Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images

Research article (IEEE Journal of Biomedical and Health Informatics, 2023) · cited 17× · AI/ML
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Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/benchmarking-polyp-segmentation-methods-in-narrow-band-imaging-colonoscopy-images
MLA “Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/benchmarking-polyp-segmentation-methods-in-narrow-band-imaging-colonoscopy-images.
BibTeX @misc{4ortxyz_benchmarking-polyp-segmentation-methods-in-narrow-band-imaging-colonoscopy-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images}}, year = {2026}, url = {https://4ort.xyz/entity/benchmarking-polyp-segmentation-methods-in-narrow-band-imaging-colonoscopy-images}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images — https://4ort.xyz/entity/benchmarking-polyp-segmentation-methods-in-narrow-band-imaging-colonoscopy-images (retrieved 2026-05-24)

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