Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images.
By Pratul P. Srinivasan, L. Kim, Priyatham S. Mettu, S. Cousins, G. Comer, J. Izatt, Sina Farsiu. Biomedical Optics Express, 2014
461 citations recorded by the source corpus.
We present a novel fully automated algorithm for the detection of retinal diseases via optical coherence tomography (OCT) imaging. Our algorithm utilizes multiscale histograms of oriented gradient descriptors as feature vectors of a support vector machine based classifier. The spectral domain OCT data sets used for cross-validation consisted of volumetric scans acquired from 45 subjects: 15 normal subjects, 15 patients with dry age-related macular degeneration (AMD), and 15 patients with diabetic macular edema (DME). Our classifier correctly identified 100% of cases with AMD, 100% cases with DME, and 86.67% cases of normal subjects. This algorithm is a potentially impactful tool for the remote diagnosis of ophthalmic diseases.
Subfields: Biomedical Engineering, Ophthalmology, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/51b5ad1f25d871e792747790d6efc31f41110584
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Artificial intelligence in retina. (2018, background): “…in AMD or DME can serve for diagnostic grading of disease activity at baseline (Chakravarthy et al., 2016; Liu et al., 2011a; Sidibé et al., 2017; Srinivasan et al., 2014; Sun et al., 2017) to facilitate clinical processes (e.g. preselection of the most important scan for the examining doctor to…”
- Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search. (2017, methodology): “…high resolution of OCT enables the visualization of multiple retinal cell layers and biomarkers of retinal and neurodegenerative diseases, including age-related macular degeneration (AMD) [3–5], diabetic retinopathy [6], glaucoma [7], Alzheimer’s disease [8], and amyotrophic lateral sclerosis [9].”