Diabetic Retinopathy Severity measure

  • Swimlane: 2020-2021
  • Column: DONE
  • Position: 8
  • Assignee: Olivier Debeir
  • Creator: Olivier Debeir
  • Started: 01/10/2020 00:00
  • Created: 29/11/2018 11:10
  • Modified: 06/07/2021 13:56
  • Moved: 06/07/2021 13:56
Description

The project aims to provide a measure of Ddabetic retinopathy based on RGB image of the eye.
The method forseen is based on a deep neural network train by a supervised image dabase.

Kaggle

see also:
http:/www.adcis.net/fr/T%C3%A9l%C3%A9charger-Logiciels-Bases-Tiers/Messidor.html

Contacts:

Olivier Debeirodebeir@ulb.ac.be, Gabriel Bellouni (erasme) Gabriel.Bellouni@ulb.ac.be

Sub-Tasks
Internal links
This task is duplicated by (3) Assignee Time tracking
#1163 Diabetic Retinopathy Severity measure (DONE) Olivier Debeir
#1142 Diabetic Retinopathy Severity measure (PROJECT[OBSOLETE use published projects] - Backlog) Olivier Debeir
#1143 Diabetic Retinopathy Severity measure (PROJECT[OBSOLETE use published projects] - Backlog) Olivier Debeir
Comments
Olivier Debeir
Olivier Debeir Created at: 20/10/2020 12:17 Updated at: 20/10/2020 12:17

read several papers,
analysing the quality
nn to classify ok, not ok, observation,severe
bload vessel

Olivier Debeir
Olivier Debeir Created at: 26/10/2020 13:25 Updated at: 26/10/2020 13:25

2400/1440

3 services <>

pas sûr pour l'id du patient

autre possibilité que la classif, travail complémentaire avec cédric
assessment de la qualité
supervision de la qualité

pas dispo, à voir