Projects per year
Abstract / Description of output
Dementia is a devastating disease, and has severe implications on affected individuals, their family and wider society. A growing body of literature is studying the association of retinal microvasculature measurement with dementia. We present a pilot study testing the strength of groups of conventional (semantic) and texture-based (non-semantic) measurements extracted from retinal fundus camera images to classify patients with and without dementia. We performed a 500-trial bootstrap analysis with regularized logistic regression on a cohort of 1,742 elderly diabetic individuals (median age 72.2). Age was the strongest predictor for this elderly cohort. Semantic retinal measurements featured in up to 81% of the bootstrap trials, with arterial caliber and optic disk size chosen most often, suggesting that they do complement age when selected together in a classifier. Textural features were able to train classifiers that match the performance of age, suggesting they are potentially a rich source of information for dementia outcome classification
|Title of host publication||International Workshop on Ophthalmic Medical Image Analysis|
|Publication status||Published - 9 Sept 2017|
FingerprintDive into the research topics of 'Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population'. Together they form a unique fingerprint.
- 1 Finished
30/04/15 → 28/08/18