Journal of Information Technology and Cyber Security
Vol 1 No 2 (2023): July

Diabetic Retinopathy Blood Vessel Detection Using CNN and RNN Techniques

Adithya Kusuma Whardana (Universitas Tanri Abeng)
Parma Hadi Rentelinggi (Keio University)
Hezkiel Dokta Timothy (Universitas Tanri Abeng)

Article Info

Publish Date
31 Jan 2024

Abstract

This research aims to detect diabetic retinopathy using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). The main objective is to compare these two methods in detecting the condition. Based on the study’s result after training 10 times on each method, the accuracy results were 92% for the CNN method and 50% for the RNN method. These results show, this study with the dataset used, the CNN method is much more effective in detecting diabetic retinopathy than the RNN method. The CNN method is better due to its ability to extract spatial features from images, which is important in image classification tasks.

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Journal Info
Journal of Information Technology and Cyber Security
Website

Abbrev

jitsc

Publisher

Universitas 17 Agustus 1945 Surabaya

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Description

Journal of Information Technology and Cyber Security (JITCS) is a refereed international journal whose focus is on exchanging information relating to Information Technology and Cyber Security in industry, government, and universities worldwide. The thrust of the journal is to publish papers dealing ...