Automated segmentation and quantitative analysis of optic disc and fovea in fundus images

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1573-7721

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Automated segmentation and quantitative analysis of optic disc and fovea in fundus images ; day:2 ; month:4 ; year:2021 ; pages:1-16
Multimedia tools and applications ; (2.4.2021), 1-16

Creator: Kim, Ga Young
Lee, Sang Hyeok
Kim, Sung Min

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11042-021-10815-1

URN: urn:nbn:de:101:1-2021052620163281290802

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:46 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Kim, Ga Young
Lee, Sang Hyeok
Kim, Sung Min
SpringerLink (Online service)

Other Objects (12)

Research on segmentation model of optic disc and optic cup in fundus

A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images

Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia

ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images

Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images

Optic cup segmentation of stereo retinal fundus images using virtual reality

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

Discriminating Healthy Optic Discs and Visible Optic Disc Drusen on Fundus Autofluorescence and Color Fundus Photography Using Deep Learning—A Pilot Study

Author Correction: Deep learning on fundus images detects glaucoma beyond the optic disc

Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy

Automated optic disk segmentation for optic disk edema classification using factorized gradient vector flow

Research on segmentation model of optic disc and optic cup in fundus

A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images

Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia

ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images

Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images

Optic cup segmentation of stereo retinal fundus images using virtual reality

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

Discriminating Healthy Optic Discs and Visible Optic Disc Drusen on Fundus Autofluorescence and Color Fundus Photography Using Deep Learning—A Pilot Study

Author Correction: Deep learning on fundus images detects glaucoma beyond the optic disc

Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy

Automated optic disk segmentation for optic disk edema classification using factorized gradient vector flow

Research on segmentation model of optic disc and optic cup in fundus

A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images

Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia

ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images

Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images

Optic cup segmentation of stereo retinal fundus images using virtual reality

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

Discriminating Healthy Optic Discs and Visible Optic Disc Drusen on Fundus Autofluorescence and Color Fundus Photography Using Deep Learning—A Pilot Study

Author Correction: Deep learning on fundus images detects glaucoma beyond the optic disc

Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy

Automated optic disk segmentation for optic disk edema classification using factorized gradient vector flow

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Automated segmentation and quantitative analysis of optic disc and fovea in fundus images

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Research on segmentation model of optic disc and optic cup in fundus

A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images

Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia

ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images

Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images

Optic cup segmentation of stereo retinal fundus images using virtual reality

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

Discriminating Healthy Optic Discs and Visible Optic Disc Drusen on Fundus Autofluorescence and Color Fundus Photography Using Deep Learning—A Pilot Study

Author Correction: Deep learning on fundus images detects glaucoma beyond the optic disc

Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy

Automated optic disk segmentation for optic disk edema classification using factorized gradient vector flow

Research on segmentation model of optic disc and optic cup in fundus

A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images

Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia

ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images

Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images

Optic cup segmentation of stereo retinal fundus images using virtual reality

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

Discriminating Healthy Optic Discs and Visible Optic Disc Drusen on Fundus Autofluorescence and Color Fundus Photography Using Deep Learning—A Pilot Study

Author Correction: Deep learning on fundus images detects glaucoma beyond the optic disc

Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy

Automated optic disk segmentation for optic disk edema classification using factorized gradient vector flow

Research on segmentation model of optic disc and optic cup in fundus

A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images

Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia

ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images

Multiresolution cascaded attention U-Net for localization and segmentation of optic disc and fovea in fundus images

Optic cup segmentation of stereo retinal fundus images using virtual reality

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

Discriminating Healthy Optic Discs and Visible Optic Disc Drusen on Fundus Autofluorescence and Color Fundus Photography Using Deep Learning—A Pilot Study

Author Correction: Deep learning on fundus images detects glaucoma beyond the optic disc

Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy

Automated optic disk segmentation for optic disk edema classification using factorized gradient vector flow

Related objects

Reset password