- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Research on segmentation model of optic disc and optic cup in fundus ; volume:24 ; number:1 ; day:28 ; month:6 ; year:2024 ; pages:1-13 ; date:12.2024
BMC ophthalmology ; 24, Heft 1 (28.6.2024), 1-13, 12.2024
- Creator
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Chen, Naigong
Lv, Xiujuan
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12886-024-03532-4
- URN
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urn:nbn:de:101:1-2409230949298.667323158857
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:26 AM CEST
Data provider
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Associated
- Chen, Naigong
- Lv, Xiujuan
- SpringerLink (Online service)
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Self-supervised pre-training for joint optic disc and cup segmentation via attention-aware network
Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network
Deep learning on fundus images detects glaucoma beyond the optic disc
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Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images
Discriminating Healthy Optic Discs and Visible Optic Disc Drusen on Fundus Autofluorescence and Color Fundus Photography Using Deep Learning—A Pilot Study
Deep learning-based optic disc classification is affected by optic-disc tilt
An efficient optic cup segmentation method decreasing the influences of blood vessels
Optic cup segmentation of stereo retinal fundus images using virtual reality
Automated segmentation and quantitative analysis of optic disc and fovea in fundus images
Improved optic disc and cup segmentation in Glaucomatic images using deep learning architecture
A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images
Self-supervised pre-training for joint optic disc and cup segmentation via attention-aware network
Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network
Deep learning on fundus images detects glaucoma beyond the optic disc
A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis
Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images
Discriminating Healthy Optic Discs and Visible Optic Disc Drusen on Fundus Autofluorescence and Color Fundus Photography Using Deep Learning—A Pilot Study
Deep learning-based optic disc classification is affected by optic-disc tilt