Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-67561-9_17 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Retina,Dementia,Microvasculature,Classification,Biomarkers | Population,Computer science,Biomarker (medicine),Artificial intelligence,Retinal,Cohort,Logistic regression,Pathology,Disease,Pattern recognition,Pediatrics,Optic disk,Dementia | Conference |
Volume | ISSN | Citations |
10554 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmed E. Fetit | 1 | 0 | 0.34 |
| Siyamalan Manivannan | 2 | 43 | 5.24 |
| Sarah McGrory | 3 | 0 | 0.68 |
| Lucia Ballerini | 4 | 156 | 17.70 |
| Alexander Doney | 5 | 0 | 1.01 |
| Thomas J. MacGillivray | 6 | 0 | 0.34 |
| Ian J Deary | 7 | 27 | 7.04 |
| Joanna M. Wardlaw | 8 | 108 | 17.52 |
| Fergus Doubal | 9 | 0 | 0.68 |
| Gareth J. McKay | 10 | 0 | 0.34 |
| Stephen McKenna | 11 | 1475 | 223.16 |
| Emanuele Trucco | 12 | 1236 | 116.32 |