Classification of Choroidal Neovascularization and Diabetic Macular Edema Based on Feature Extraction from Optical Coherence Tomography Images.

Nikolaos G Bitzanakis, Aristidis G Vrahatis

Abstract read

In one paragraph

Article in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Nikolaos G BitzanakisDepartment of Ophthalmology, Korgialenio-Benakio Hospital, Athens, Greece.

Aristidis G VrahatisBioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography (OCT) is a widely used imaging modality for diagnosing and monitoring macular diseases, including diabetic macular edema (DME) and choroidal neovascularization (CNV), both of which can cause severe visual impairment. Clinicians rely on various OCT biomarkers to identify these conditions. An algorithm was developed in Python to extract biomarker-associated features from OCT images and applied to a pre-labeled dataset containing normal, DME, and CNV images. Distribution analysis confirmed that the extracted features aligned with the existing literature. Using these features, LightGBM classified the OCT images, achieving 91% accuracy and 98% area under the receiver operating characteristic curve. Based on these promising results, this algorithm could contribute to the development of more advanced feature extraction methodologies for the diagnosis of macular diseases using traditional machine learning approaches. Such algorithms could potentially be integrated into automated patient screening systems.

Indexed as

Choroidal NeovascularizationDiabetic RetinopathyMacular EdemaTomography, Optical CoherenceAlgorithmsHumansImage Interpretation, Computer-AssistedMachine LearningROC CurveChoroidal neovascularizationDiabetic macular edemaFeature extractionImage classificationOCTOptical coherence tomography

Identifiers

PMID41479092

DOI10.1038/538020a

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.