Non-Proliferative Diabetic Retinopathy Classification Based on Hard Exudates Using Combination of FRCNN, Morphology, and ANFIS

Ricky Eka Putra, Handayani Tjandrasa, Nanik Suciati, Ardian Yusuf Wicaksono

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

One of retinal eye disease caused by complications of diabetes mellitus is Diabetic Retinopathy. This disease consists of several levels. Severe diabetic retinopathy can cause blindness for thesufferer. The presence of hard exudate in the retinal fundus image is one symptom of diabetic retinopathy. That lesions are utilized to categorize two severity levels in diabetic retinopathy. Those are the severe and moderate NonProliferative Diabetic Retinopathy (NPDR). This research is using Faster Region-based Convolutional Neural Network (FRCNN) to remove the optic disk, mathematical morphology method to process hard exudates segmentation and Adaptive Neuro-Fuzzy Inference System (ANFIS) method to process the classification. The accuracy level of the classification system in this research was 83.54 %. The result of this research can be utilized as additional decision support for the ophthalmologist. This research is expected to help the ophthalmologist and the community in the prevention of diabetic retinopathy. So, this research is also expected to reduce the level of blindness caused by diabetic retinopathy.

Original languageEnglish
Title of host publicationProceeding - 2020 3rd International Conference on Vocational Education and Electrical Engineering
Subtitle of host publicationStrengthening the framework of Society 5.0 through Innovations in Education, Electrical, Engineering and Informatics Engineering, ICVEE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728174341
DOIs
Publication statusPublished - 3 Oct 2020
Event3rd International Conference on Vocational Education and Electrical Engineering, ICVEE 2020 - Virtual, Surabaya, Indonesia
Duration: 3 Oct 20204 Oct 2020

Publication series

NameProceeding - 2020 3rd International Conference on Vocational Education and Electrical Engineering: Strengthening the framework of Society 5.0 through Innovations in Education, Electrical, Engineering and Informatics Engineering, ICVEE 2020

Conference

Conference3rd International Conference on Vocational Education and Electrical Engineering, ICVEE 2020
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period3/10/204/10/20

Keywords

  • ANFIS
  • FRCNN
  • NPDR classification
  • hard exudates
  • morphology
  • retinal fundus image

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