Team 28

Team Members :

  • Mahmoud Hazem | CV
  • Mohamed Alaa El-Dine | CV
  • Omar Khaled | CV
  • Youssef Talaat | CV

 

Supervisors :

 

 

Project Description :

Diabetes Mellitus is one of the worlds most famous and dominant diseases that strike many people at a very early stage in life. This disease later on leads to another completely unforeseen chronic eye disease called Diabetic Retinopathy (DR). Diabetic Retinopathy is a retinal disease that usually leads to or can progress to irreversible vision loss (blindness). The main purpose of this project is the early detection of this very critical and perilous condition to try and avoid any serious complications in the future. Our system proposes reading a wide variety of retinal fundus images and deciding whether a person suffers from Diabetic Retinopathy or not; If it appears that a person suffers from (DR) the system then classifies the stage of the Diabetic Retinopathy.

 

Proposal :

Software Requirement Specification :

Software Design Document :

Thesis :

 

 

Demos :

  • Doctor Demo

 

  • Patient Demo

 

  • Admin Demo

 

 

Achievements :

  • Competitions :
    We participated in DELL Technologies Envision the Future Competition and made it to the final stage and being one of the top 25 teams.

 

  • Publications :
    A Contribution paper under the title of “Cascaded Architecture for Classifying the Preliminary Stages of Diabetic Retinopathy” was published in the 9th International Conference on Software and Information Engineering (ICSIE 2020).