Home ›
Entities
› academia
› A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images
A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images
Research article (Computer Methods and Programs in Biomedicine, 2021) · cited 34× · AI/ML
A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images
Summary
A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images is a scholarly article[1].
Key Facts
A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images'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). A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-approach-using-synthetic-images-for-segmenting-and-estimating-3d-orientation-of-nanoparticles-in-em-imag
MLA“A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-approach-using-synthetic-images-for-segmenting-and-estimating-3d-orientation-of-nanoparticles-in-em-imag.
BibTeX@misc{4ortxyz_a-deep-learning-approach-using-synthetic-images-for-segmenting-and-estimating-3d-orientation-of-nanoparticles-in-em-imag_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-approach-using-synthetic-images-for-segmenting-and-estimating-3d-orientation-of-nanoparticles-in-em-imag}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images — https://4ort.xyz/entity/a-deep-learning-approach-using-synthetic-images-for-segmenting-and-estimating-3d-orientation-of-nanoparticles-in-em-imag (retrieved 2026-05-24)