Idea Details

Team and Contact Details

SNo Student Name School Degree Year Email
1Rooshan NaeemSEECSUndergraduateFourth14besemnaeem@seecs.edu.pk
1Shoaib SarwarSEECSUndergraduateFourth14besessarwar@seecs.edu.pk
1M Samiullal BelalSEECSUndergraduateFourth14besembelal@seecs.edu.pk

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: DRIA
Slogan: Diagnostic Retinal Image Analysis
Supervisor Name: Dr. Muhammad Moazam Fraz
Supervisor Designation: HoD
Supervisor School: SEECS
Supervisor Department: SE
Contact number: 0000000000000000
Email ID: moazam.fraz@seecs.edu.pk
Abstract:
    Retinal imaging has rapidly grown within ophthalmology in the past twenty years. making it possible to examine the eye for the presence of many different eye diseases with a simple, noninvasive method
What is the unmet need in society that your idea will fulfill ?
    Most of the important eye diseases manifest themselves in retina. These diseases, if not attended, can lead to permanent vision loss. Retinal Image analysis will give us insight into eye structure. The problem we are trying to solve with our system is lack of low cost equipment for early detection.
Who needs it ? How many would benefit ?
   1. Hospitals: For diagnosis of diseases and reducing the workload of ophthalmologists thereby improving health care. 2. Clinics: Clinics who cannot afford expensive equipment for the diagnosis of diseases 3. Patients: For quick and early detection of the disease.
How will the solution works
    The main focus of our this project is to analyze the given image of eye’s retina and to tell whether that person’s eye is affected with a disease (HR) or has some symptoms of disease called Hypertensive Retinopathy. We want to detect the disease early which will definitely control or prevent the expected blindness, if disease continues to spread. Developing a Computer Aided Diagnostic CAD system will help the ophthalmologist to correctly and early detect the disease.
Who are your competitors ? How is your solution different
    we are manually creating data sets for it and we are using deep learning.
Status: Approved
Entry Date & Time: 2017-12-15 (2327)