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Point-Sampling Method Based on 3D U-Net Architecture to Reduce the Influence of False Positive and Solve Boundary Blur Problem in 3D CT Image Segmentation
Research article (Applied Sciences, 2020) · cited 15× · AI/ML
Point-Sampling Method Based on 3D U-Net Architecture to Reduce the Influence of False Positive and Solve Boundary Blur Problem in 3D CT Image Segmentation
Summary
Point-Sampling Method Based on 3D U-Net Architecture to Reduce the Influence of False Positive and Solve Boundary Blur Problem in 3D CT Image Segmentation is a scholarly article[1].
Key Facts
Point-Sampling Method Based on 3D U-Net Architecture to Reduce the Influence of False Positive and Solve Boundary Blur Problem in 3D CT Image Segmentation'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). Point-Sampling Method Based on 3D U-Net Architecture to Reduce the Influence of False Positive and Solve Boundary Blur Problem in 3D CT Image Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/point-sampling-method-based-on-3d-u-net-architecture-to-reduce-the-influence-of-false-positive-and-solve-boundary-blur-p
MLA“Point-Sampling Method Based on 3D U-Net Architecture to Reduce the Influence of False Positive and Solve Boundary Blur Problem in 3D CT Image Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/point-sampling-method-based-on-3d-u-net-architecture-to-reduce-the-influence-of-false-positive-and-solve-boundary-blur-p.
BibTeX@misc{4ortxyz_point-sampling-method-based-on-3d-u-net-architecture-to-reduce-the-influence-of-false-positive-and-solve-boundary-blur-p_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Point-Sampling Method Based on 3D U-Net Architecture to Reduce the Influence of False Positive and Solve Boundary Blur Problem in 3D CT Image Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/point-sampling-method-based-on-3d-u-net-architecture-to-reduce-the-influence-of-false-positive-and-solve-boundary-blur-p}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Point-Sampling Method Based on 3D U-Net Architecture to Reduce the Influence of False Positive and Solve Boundary Blur Problem in 3D CT Image Segmentation — https://4ort.xyz/entity/point-sampling-method-based-on-3d-u-net-architecture-to-reduce-the-influence-of-false-positive-and-solve-boundary-blur-p (retrieved 2026-05-24)
