Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs ; volume:8 ; number:1 ; day:12 ; month:11 ; year:2018 ; pages:1-13 ; date:12.2018
Scientific reports ; 8, Heft 1 (12.11.2018), 1-13, 12.2018
- Urheber
-
Christopher, Mark
Belghith, Akram
Bowd, Christopher
Proudfoot, James A.
Goldbaum, Michael H.
Weinreb, Robert N.
Girkin, Christopher A.
Liebmann, Jeffrey M.
Zangwill, Linda M.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-018-35044-9
- URN
-
urn:nbn:de:101:1-2018122422515713594283
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 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
- Christopher, Mark
- Belghith, Akram
- Bowd, Christopher
- Proudfoot, James A.
- Goldbaum, Michael H.
- Weinreb, Robert N.
- Girkin, Christopher A.
- Liebmann, Jeffrey M.
- Zangwill, Linda M.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Ocular blood flow and glaucomatous optic neuropathy
Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs
Efficacy of a Deep Learning System for Screening Myopic Maculopathy Based on Color Fundus Photographs
Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy
The two sides of cytokine signaling and glaucomatous optic neuropathy
A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs
Towards population-independent, multi-disease detection in fundus photographs
Machine learning–couched treatment algorithms tailored to individualized profile of patients with primary anterior chamber angle closure predisposed to the glaucomatous optic neuropathy
Application of a deep learning system in glaucoma screening and further classification with colour fundus photographs: a case control study
Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning
Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning
Neurophthalmological conditions mimicking glaucomatous optic neuropathy: analysis of the most common causes of misdiagnosis
Ocular blood flow and glaucomatous optic neuropathy
Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs
Efficacy of a Deep Learning System for Screening Myopic Maculopathy Based on Color Fundus Photographs
Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy
The two sides of cytokine signaling and glaucomatous optic neuropathy
A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs
Towards population-independent, multi-disease detection in fundus photographs
Machine learning–couched treatment algorithms tailored to individualized profile of patients with primary anterior chamber angle closure predisposed to the glaucomatous optic neuropathy
Application of a deep learning system in glaucoma screening and further classification with colour fundus photographs: a case control study
Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning
Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning
Neurophthalmological conditions mimicking glaucomatous optic neuropathy: analysis of the most common causes of misdiagnosis
Ocular blood flow and glaucomatous optic neuropathy
Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs
Efficacy of a Deep Learning System for Screening Myopic Maculopathy Based on Color Fundus Photographs
Automated macular segmentation can distinguish glaucomatous from compressive optic neuropathy
The two sides of cytokine signaling and glaucomatous optic neuropathy
A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs
Towards population-independent, multi-disease detection in fundus photographs
Machine learning–couched treatment algorithms tailored to individualized profile of patients with primary anterior chamber angle closure predisposed to the glaucomatous optic neuropathy
Application of a deep learning system in glaucoma screening and further classification with colour fundus photographs: a case control study
Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning
Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning