Unknown

Dataset Information

The Framework of Quantifying Biomarkers of OCT and OCTA Images in Retinal Diseases.


ABSTRACT: Despite the significant advancements facilitated by previous research in introducing a plethora of retinal biomarkers, there is a lack of research addressing the clinical need for quantifying different biomarkers and prioritizing their importance for guiding clinical decision making in the context of retinal diseases. To address this issue, our study introduces a novel framework for quantifying biomarkers derived from optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) images in retinal diseases. We extract 452 feature parameters from five feature types, including local binary patterns (LBP) features of OCT and OCTA, capillary and large vessel features, and the foveal avascular zone (FAZ) feature. Leveraging this extensive feature set, we construct a clas

SUBMITTER: Liu X 

PROVIDER: S-EPMC11359948 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature