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Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis
  and Uncertainty Quantification

Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification

29 July 2020
Santiago Toledo-Cortés
Melissa De La Pava
Oscar J. Perdomo
Fabio A. González
    BDLMedIm
ArXiv (abs)PDFHTMLGithub (7★)

Papers citing "Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification"

3 / 3 papers shown
Title
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
110
90
0
05 Oct 2022
Deep Semi-Supervised and Self-Supervised Learning for Diabetic
  Retinopathy Detection
Deep Semi-Supervised and Self-Supervised Learning for Diabetic Retinopathy Detection
J. M. Ramos
Oscar J. Perdomo
Fabio A. González
39
4
0
04 Aug 2022
A deep learning model for classification of diabetic retinopathy in eye
  fundus images based on retinal lesion detection
A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection
Melissa delaPava
Hernán Ríos
Francisco J. Rodríguez
Oscar J. Perdomo
Fabio A. González
MedIm
41
6
0
14 Oct 2021
1