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ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes
Research article (IEEE Access, 2023) · cited 12× · AI/ML
ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes
Summary
ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes is a scholarly article[1].
Key Facts
ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes's instance of is recorded as scholarly article[2].
References
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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). ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes. Retrieved May 24, 2026, from https://4ort.xyz/entity/convsegnet-automated-polyp-segmentation-from-colonoscopy-using-context-feature-refinement-with-multiple-convolutional-ke
MLA“ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convsegnet-automated-polyp-segmentation-from-colonoscopy-using-context-feature-refinement-with-multiple-convolutional-ke.
BibTeX@misc{4ortxyz_convsegnet-automated-polyp-segmentation-from-colonoscopy-using-context-feature-refinement-with-multiple-convolutional-ke_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes}}, year = {2026}, url = {https://4ort.xyz/entity/convsegnet-automated-polyp-segmentation-from-colonoscopy-using-context-feature-refinement-with-multiple-convolutional-ke}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes — https://4ort.xyz/entity/convsegnet-automated-polyp-segmentation-from-colonoscopy-using-context-feature-refinement-with-multiple-convolutional-ke (retrieved 2026-05-24)
