Home ›
Entities
› academia
› Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma
Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma
Research article (Scientific Reports, 2022) · cited 12× · AI/ML
Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma
Summary
Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma is a scholarly article[1].
Key Facts
Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma'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 approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-approaches-to-predict-10-2-visual-field-from-wide-field-swept-source-optical-coherence-tomography-en-face-
MLA“Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-approaches-to-predict-10-2-visual-field-from-wide-field-swept-source-optical-coherence-tomography-en-face-.
BibTeX@misc{4ortxyz_deep-learning-approaches-to-predict-10-2-visual-field-from-wide-field-swept-source-optical-coherence-tomography-en-face-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-approaches-to-predict-10-2-visual-field-from-wide-field-swept-source-optical-coherence-tomography-en-face-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma — https://4ort.xyz/entity/deep-learning-approaches-to-predict-10-2-visual-field-from-wide-field-swept-source-optical-coherence-tomography-en-face- (retrieved 2026-05-24)
