Home ›
Entities
› academia
› U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings
U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings
Research article (2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022) · cited 10× · AI/ML
U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings
Summary
U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings is a scholarly article[1].
Key Facts
U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings. Retrieved May 24, 2026, from https://4ort.xyz/entity/u-net-based-image-segmentation-techniques-for-development-of-non-biocidal-fouling-resistant-ultra-thin-two-dimensional-2
MLA“U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/u-net-based-image-segmentation-techniques-for-development-of-non-biocidal-fouling-resistant-ultra-thin-two-dimensional-2.
BibTeX@misc{4ortxyz_u-net-based-image-segmentation-techniques-for-development-of-non-biocidal-fouling-resistant-ultra-thin-two-dimensional-2_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings}}, year = {2026}, url = {https://4ort.xyz/entity/u-net-based-image-segmentation-techniques-for-development-of-non-biocidal-fouling-resistant-ultra-thin-two-dimensional-2}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings — https://4ort.xyz/entity/u-net-based-image-segmentation-techniques-for-development-of-non-biocidal-fouling-resistant-ultra-thin-two-dimensional-2 (retrieved 2026-05-24)
