Improved optic disc and cup segmentation in Glaucomatic images using deep learning architecture
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-7721
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Improved optic disc and cup segmentation in Glaucomatic images using deep learning architecture ; day:2 ; month:2 ; year:2021 ; pages:1-21
Multimedia tools and applications ; (2.2.2021), 1-21
- Urheber
-
Mangipudi, Partha Sarathi
Pandey, Hari Mohan
Choudhary, Ankur
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11042-020-10430-6
- URN
-
urn:nbn:de:101:1-2021032622070361589933
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:01 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Mangipudi, Partha Sarathi
- Pandey, Hari Mohan
- Choudhary, Ankur
- SpringerLink (Online service)
Ähnliche Objekte (12)
Research on segmentation model of optic disc and optic cup in fundus
Optic cup segmentation of stereo retinal fundus images using virtual reality
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
Automated segmentation and quantitative analysis of optic disc and fovea in fundus images
A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis
A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images
Joint optic disc and cup segmentation based on multi-scale feature analysis and attention pyramid architecture for glaucoma screening
Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images
An efficient optic cup segmentation method decreasing the influences of blood vessels
Optic disc localization in retinal images using histogram matching
Longitudinal changes of funduscopic optic disc size, color and cup-to-disc ratio in school children
Research on segmentation model of optic disc and optic cup in fundus
Optic cup segmentation of stereo retinal fundus images using virtual reality
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
Automated segmentation and quantitative analysis of optic disc and fovea in fundus images
A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis
A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images
Joint optic disc and cup segmentation based on multi-scale feature analysis and attention pyramid architecture for glaucoma screening
Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images
An efficient optic cup segmentation method decreasing the influences of blood vessels
Optic disc localization in retinal images using histogram matching
Longitudinal changes of funduscopic optic disc size, color and cup-to-disc ratio in school children
Research on segmentation model of optic disc and optic cup in fundus
Optic cup segmentation of stereo retinal fundus images using virtual reality
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
Automated segmentation and quantitative analysis of optic disc and fovea in fundus images
A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis
A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images
Joint optic disc and cup segmentation based on multi-scale feature analysis and attention pyramid architecture for glaucoma screening
Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images
An efficient optic cup segmentation method decreasing the influences of blood vessels
Optic disc localization in retinal images using histogram matching