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http://hdl.handle.net/1942/35912
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DC Field | Value | Language |
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dc.contributor.author | Hemelings, Ruben | - |
dc.contributor.author | Elen, Bart | - |
dc.contributor.author | Barbosa-Breda, Joao | - |
dc.contributor.author | Blaschko, Matthew B. | - |
dc.contributor.author | DE BOEVER, Patrick | - |
dc.contributor.author | Stalmans, Ingeborg | - |
dc.date.accessioned | 2021-11-26T14:12:23Z | - |
dc.date.available | 2021-11-26T14:12:23Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2021-10-28T08:24:39Z | - |
dc.identifier.citation | Scientific reports (Nature Publishing Group), 11 (1) (Art N° 20313) | - |
dc.identifier.uri | http://hdl.handle.net/1942/35912 | - |
dc.description.abstract | Although unprecedented sensitivity and specificity values are reported, recent glaucoma detection deep learning models lack in decision transparency. Here, we propose a methodology that advances explainable deep learning in the field of glaucoma detection and vertical cup-disc ratio (VCDR), an important risk factor. We trained and evaluated deep learning models using fundus images that underwent a certain cropping policy. We defined the crop radius as a percentage of image size, centered on the optic nerve head (ONH), with an equidistant spaced range from 10-60% (ONH crop policy). The inverse of the cropping mask was also applied (periphery crop policy). Trained models using original images resulted in an area under the curve (AUC) of 0.94 [95% CI 0.92-0.96] for glaucoma detection, and a coefficient of determination (R-2) equal to 77% [95% CI 0.77-0.79] for VCDR estimation. Models that were trained on images with absence of the ONH are still able to obtain significant performance (0.88 [95% CI 0.85-0.90] AUC for glaucoma detection and 37% [95% CI 0.35-0.40] R-2 score for VCDR estimation in the most extreme setup of 60% ONH crop). Our findings provide the first irrefutable evidence that deep learning can detect glaucoma from fundus image regions outside the ONH. | - |
dc.description.sponsorship | Research Group Ophthalmology, KU Leuven; VITO NV; Flemish Government; European Commission | - |
dc.language.iso | en | - |
dc.publisher | NATURE PORTFOLIO | - |
dc.title | Deep learning on fundus images detects glaucoma beyond the optic disc | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 1 | - |
dc.identifier.volume | 11 | - |
local.format.pages | 12 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Hemelings, R (corresponding author), Katholieke Univ Leuven, Res Grp Ophthalmol, Dept Neurosci, Herestr 49, B-3000 Leuven, Belgium.; Hemelings, R (corresponding author), Flemish Inst Technol Res VITO, Boeretang 200, B-2400 Mol, Belgium. | - |
dc.description.notes | ruben.hemelings@kuleuven.be | - |
local.publisher.place | HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 20313 | - |
dc.identifier.doi | 10.1038/s41598-021-99605-1 | - |
dc.identifier.isi | WOS:000707032500063 | - |
local.provider.type | wosris | - |
local.uhasselt.uhpub | yes | - |
local.description.affiliation | [Hemelings, Ruben; Barbosa-Breda, Joao; Stalmans, Ingeborg] Katholieke Univ Leuven, Res Grp Ophthalmol, Dept Neurosci, Herestr 49, B-3000 Leuven, Belgium. | - |
local.description.affiliation | [Stalmans, Ingeborg] UZ Leuven, Ophthalmol Dept, Herestr 49, B-3000 Leuven, Belgium. | - |
local.description.affiliation | [Barbosa-Breda, Joao] Univ Porto, Cardiovasc R&D Ctr, Fac Med, P-4200319 Porto, Portugal. | - |
local.description.affiliation | [Barbosa-Breda, Joao] Ctr Hosp & Univ Sao Jo5o, Dept Ophthalmol, P-4200319 Porto, Portugal. | - |
local.description.affiliation | [Blaschko, Matthew B.] Katholieke Univ Leuven, ESAT PSI, Kasteelpk Arenberg 10, B-3001 Leuven, Belgium. | - |
local.description.affiliation | [De Boever, Patrick] Hasselt Univ, Agoralaan Bldg D, B-3590 Diepenbeek, Belgium. | - |
local.description.affiliation | [De Boever, Patrick] Univ Antwerp, Dept Biol, B-2610 Antwerp, Belgium. | - |
local.description.affiliation | [Hemelings, Ruben; Elen, Bart; De Boever, Patrick] Flemish Inst Technol Res VITO, Boeretang 200, B-2400 Mol, Belgium. | - |
local.uhasselt.international | yes | - |
item.validation | ecoom 2022 | - |
item.contributor | Hemelings, Ruben | - |
item.contributor | Elen, Bart | - |
item.contributor | Barbosa-Breda, Joao | - |
item.contributor | Blaschko, Matthew B. | - |
item.contributor | DE BOEVER, Patrick | - |
item.contributor | Stalmans, Ingeborg | - |
item.accessRights | Open Access | - |
item.fullcitation | Hemelings, Ruben; Elen, Bart; Barbosa-Breda, Joao; Blaschko, Matthew B.; DE BOEVER, Patrick & Stalmans, Ingeborg (2021) Deep learning on fundus images detects glaucoma beyond the optic disc. In: Scientific reports (Nature Publishing Group), 11 (1) (Art N° 20313). | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 2045-2322 | - |
crisitem.journal.eissn | 2045-2322 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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s41598-021-99605-1.pdf | Published version | 1.6 MB | Adobe PDF | View/Open |
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