Home ›
Entities
› academia
› An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images
An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images
Research article (Computer Methods and Programs in Biomedicine, 2016) · cited 61× · AI/ML
An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images
Summary
An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images is a scholarly article[1].
Key Facts
An anomaly detection approach for the identification of DME patients using spectral domain 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). An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-anomaly-detection-approach-for-the-identification-of-dme-patients-using-spectral-domain-optical-coherence-tomography-
MLA“An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-anomaly-detection-approach-for-the-identification-of-dme-patients-using-spectral-domain-optical-coherence-tomography-.
BibTeX@misc{4ortxyz_an-anomaly-detection-approach-for-the-identification-of-dme-patients-using-spectral-domain-optical-coherence-tomography-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images}}, year = {2026}, url = {https://4ort.xyz/entity/an-anomaly-detection-approach-for-the-identification-of-dme-patients-using-spectral-domain-optical-coherence-tomography-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images — https://4ort.xyz/entity/an-anomaly-detection-approach-for-the-identification-of-dme-patients-using-spectral-domain-optical-coherence-tomography- (retrieved 2026-05-24)
