Skip to content

A Comparative study of Diabetic Retinopathy Detection using Machine Learning and Deep Learning Architectures

Notifications You must be signed in to change notification settings

shadhin39/A_Comparative_Study_of_Diabetic_Retinopathy_Detection_Using_Machine_Learning_and_Deep_Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

34 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Course

CSE 4100: Project & Thesis-I and CSE 4250: Project & Thesis-II

A Comparative Study of Diabetic Retinopathy Detection Using Machine Learning and Deep Learning

Diabetic Retinopathy Detection using Machine Learning and Deep Learning Algorithms as well as digital image processing

Undergraduate Thesis

For the fulfillment of the requirements of the Degree of Bachelor of Science (B.Sc.) in Computer Science and Engineering

Dataset

Imagine being able to detect blindness before it happened. Millions of people suffer from diabetic retinopathy, the leading cause of blindness among working aged adults. Aravind Eye Hospital in India hopes to detect and prevent this disease among people living in rural areas where medical screening is difficult to conduct. Successful entries in this competition will improve the hospital’s ability to identify potential patients. Further, the solutions will be spread to other Ophthalmologists through the 4th Asia Pacific Tele-Ophthalmology Society (APTOS) Symposium.

Dataset Link: https://www.kaggle.com/c/aptos2019-blindness-detection/data

Paper

If you use any of the portion of this repository. Please cite the following paper: https://doi.org/10.1109/ICEEICT53905.2021.9667793

About

A Comparative study of Diabetic Retinopathy Detection using Machine Learning and Deep Learning Architectures

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published