Retina Image Analysis

Revision as of 09:26, 12 April 2021 by Sbprm2021 4 (talk | contribs)
  • Project name: Retina Image Analysis
  • Tutor: Michael Beyeler (michael [dot] beyeler [at] unil [dot] ch)

Intermediary report

                                   Retina Image Analysis                                        
                       Participant : Alexandre Jann, Maylis Touya, Paola Zanchi
                                 Teaching Assistant:  Michael Balayer

Aim

We wanted to know if we can link tortuosity of the blood vessel in the eyes with cardiovascular diseases by using programming and bioinformatics.

Why is this project interesting?

This project is quite interesting because it allows us to have a mathematical insight into the determination of diseases and comorbidity risks. Moreover, since an eye fundus is a less invasive physical exam, allowing us to see well the conditions of the blood vessels in a very short amount of time, it seems that it can be a very good exam, and maybe can replace the actuals vascular exams that are invasive and take a long time to be made.

Method

ARI

Tortuosity measurement :

We used the density factor (called DF) which consist of the ratio between the length of a line and...

Statistical tools :

We tried to know which

Intermediate results

Challenge