Home ›
Entities
› academia
› Deep learning algorithms to segment and quantify the choroidal thickness and vasculature in swept-source optical coherence tomography images
Deep learning algorithms to segment and quantify the choroidal thickness and vasculature in swept-source optical coherence tomography images
Research article (Journal of Innovative Optical Health Sciences, 2020) · cited 59× · AI/ML
Deep learning algorithms to segment and quantify the choroidal thickness and vasculature in swept-source optical coherence tomography images
Summary
Deep learning algorithms to segment and quantify the choroidal thickness and vasculature in swept-source optical coherence tomography images is a scholarly article[1].
Key Facts
Deep learning algorithms to segment and quantify the choroidal thickness and vasculature in swept-source optical coherence tomography 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). Deep learning algorithms to segment and quantify the choroidal thickness and vasculature in swept-source optical coherence tomography images. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-algorithms-to-segment-and-quantify-the-choroidal-thickness-and-vasculature-in-swept-source-optical-coheren
MLA“Deep learning algorithms to segment and quantify the choroidal thickness and vasculature in swept-source optical coherence tomography images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-algorithms-to-segment-and-quantify-the-choroidal-thickness-and-vasculature-in-swept-source-optical-coheren.
BibTeX@misc{4ortxyz_deep-learning-algorithms-to-segment-and-quantify-the-choroidal-thickness-and-vasculature-in-swept-source-optical-coheren_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning algorithms to segment and quantify the choroidal thickness and vasculature in swept-source optical coherence tomography images}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-algorithms-to-segment-and-quantify-the-choroidal-thickness-and-vasculature-in-swept-source-optical-coheren}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning algorithms to segment and quantify the choroidal thickness and vasculature in swept-source optical coherence tomography images — https://4ort.xyz/entity/deep-learning-algorithms-to-segment-and-quantify-the-choroidal-thickness-and-vasculature-in-swept-source-optical-coheren (retrieved 2026-05-24)
