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Evaluation of a deep learning system for the joint automated detection
  of diabetic retinopathy and age-related macular degeneration

Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration

22 March 2019
C. González-Gonzalo
Verónica Sánchez-Gutiérrez
Paula Hernández-Martínez
I. Contreras
Y. Lechanteur
Artin Domanian
Bram van Ginneken
C. I. Sánchez
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration"

8 / 8 papers shown
Explainable Deep Learning for Cataract Detection in Retinal Images: A Dual-Eye and Knowledge Distillation Approach
Explainable Deep Learning for Cataract Detection in Retinal Images: A Dual-Eye and Knowledge Distillation Approach
MohammadReza Abbaszadeh Bavil Soflaei
Karim SamadZamini
MedIm
25
1
0
20 Sep 2025
Advanced Segmentation of Diabetic Retinopathy Lesions Using DeepLabv3+
Advanced Segmentation of Diabetic Retinopathy Lesions Using DeepLabv3+ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2024
Meher Boulaabi
Takwa Ben Aïcha Gader
Afef Kacem Echi
Sameh Mbarek
250
1
0
24 Apr 2025
Weakly-supervised detection of AMD-related lesions in color fundus
  images using explainable deep learning
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning
José Morano
Álvaro S. Hervella
J. Rouco
Jorge Novo
José I. Fernández-Vigo
M. Ortega
MedIm
190
19
0
01 Dec 2022
Improving AMD diagnosis by the simultaneous identification of associated
  retinal lesions
Improving AMD diagnosis by the simultaneous identification of associated retinal lesionsInternational Conference on Image Analysis and Processing (ICIAP), 2022
José Morano
Álvaro S. Hervella
J. Rouco
Jorge Novo
José I. Fernández-Vigo
M. Ortega
119
0
0
22 May 2022
Performance of a deep learning system for detection of referable
  diabetic retinopathy in real clinical settings
Performance of a deep learning system for detection of referable diabetic retinopathy in real clinical settings
Verónica Sánchez-Gutiérrez
Paula Hernández-Martínez
F. Muñoz-Negrete
J. Engelberts
Allison M. Luger
M. V. Grinsven
116
3
0
11 May 2022
Adversarial Attack Vulnerability of Medical Image Analysis Systems:
  Unexplored Factors
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors
Gerda Bortsova
C. González-Gonzalo
S. Wetstein
Florian Dubost
Ioannis Katramados
...
Bram van Ginneken
J. Pluim
M. Veta
Clara I. Sánchez
Marleen de Bruijne
AAMLMedIm
127
153
0
11 Jun 2020
Automated Smartphone based System for Diagnosis of Diabetic Retinopathy
Automated Smartphone based System for Diagnosis of Diabetic Retinopathy
Misgina Tsighe Hagos
Shri Kant
Surayya Ado Bala
130
8
0
07 Apr 2020
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile
  Application Approach
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach
Misgina Tsighe Hagos
115
4
0
26 Jan 2020
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