Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM

Handayani Tjandrasa; Ricky Eka Putra; Arya Yudhi Wijaya; Isye Arieshanti

doi:10.1109/ICCSCE.2013.6719993

Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM

Handayani Tjandrasa, Ricky Eka Putra, Arya Yudhi Wijaya, Isye Arieshanti

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

36 Citations (Scopus)

Abstract

Diabetic retinopathy is a retinal disease caused by diabetes mellitus. Severity of diabetic retinopathy may lead to blindness. Therefore, early detection of diabetic retinopathy is very important. One of diabetic retinopathy symptoms is the existence of hard exudates. In this study, hard exudates in retinal fundus images are employed to classify the moderate and severe non-proliferative diabetic retinopathy. The hard exudates are segmented using mathematical morphology and the extracted features are classified by using soft margin SVM. The classification model achieves accuracy of 90.54% for 75 training data and 74 testing data of retinal images.

Original language	English
Title of host publication	Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013
Pages	376-380
Number of pages	5
DOIs	https://doi.org/10.1109/ICCSCE.2013.6719993
Publication status	Published - 2013
Event	2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013 - Penang, Malaysia Duration: 29 Nov 2013 → 1 Dec 2013

Publication series

Name	Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013

Conference

Conference	2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013
Country/Territory	Malaysia
City	Penang
Period	29/11/13 → 1/12/13

Keywords

Retinal fundus images
classification
hard exudates
non-proliferative diabetic retinopathy
soft margin SVM

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICCSCE.2013.6719993

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Tjandrasa, H., Putra, R. E., Wijaya, A. Y., & Arieshanti, I. (2013). Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM. In Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013 (pp. 376-380). Article 6719993 (Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013). https://doi.org/10.1109/ICCSCE.2013.6719993

Tjandrasa, Handayani ; Putra, Ricky Eka ; Wijaya, Arya Yudhi et al. / Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM. Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013. 2013. pp. 376-380 (Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013).

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title = "Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM",

abstract = "Diabetic retinopathy is a retinal disease caused by diabetes mellitus. Severity of diabetic retinopathy may lead to blindness. Therefore, early detection of diabetic retinopathy is very important. One of diabetic retinopathy symptoms is the existence of hard exudates. In this study, hard exudates in retinal fundus images are employed to classify the moderate and severe non-proliferative diabetic retinopathy. The hard exudates are segmented using mathematical morphology and the extracted features are classified by using soft margin SVM. The classification model achieves accuracy of 90.54% for 75 training data and 74 testing data of retinal images.",

keywords = "Retinal fundus images, classification, hard exudates, non-proliferative diabetic retinopathy, soft margin SVM",

author = "Handayani Tjandrasa and Putra, {Ricky Eka} and Wijaya, {Arya Yudhi} and Isye Arieshanti",

year = "2013",

doi = "10.1109/ICCSCE.2013.6719993",

language = "English",

isbn = "9781479915088",

series = "Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013",

pages = "376--380",

booktitle = "Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013",

note = "2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013 ; Conference date: 29-11-2013 Through 01-12-2013",

}

Tjandrasa, H, Putra, RE, Wijaya, AY & Arieshanti, I 2013, Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM. in Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013., 6719993, Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013, pp. 376-380, 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013, Penang, Malaysia, 29/11/13. https://doi.org/10.1109/ICCSCE.2013.6719993

Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM. / Tjandrasa, Handayani; Putra, Ricky Eka; Wijaya, Arya Yudhi et al.
Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013. 2013. p. 376-380 6719993 (Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM

AU - Tjandrasa, Handayani

AU - Putra, Ricky Eka

AU - Wijaya, Arya Yudhi

AU - Arieshanti, Isye

PY - 2013

Y1 - 2013

N2 - Diabetic retinopathy is a retinal disease caused by diabetes mellitus. Severity of diabetic retinopathy may lead to blindness. Therefore, early detection of diabetic retinopathy is very important. One of diabetic retinopathy symptoms is the existence of hard exudates. In this study, hard exudates in retinal fundus images are employed to classify the moderate and severe non-proliferative diabetic retinopathy. The hard exudates are segmented using mathematical morphology and the extracted features are classified by using soft margin SVM. The classification model achieves accuracy of 90.54% for 75 training data and 74 testing data of retinal images.

AB - Diabetic retinopathy is a retinal disease caused by diabetes mellitus. Severity of diabetic retinopathy may lead to blindness. Therefore, early detection of diabetic retinopathy is very important. One of diabetic retinopathy symptoms is the existence of hard exudates. In this study, hard exudates in retinal fundus images are employed to classify the moderate and severe non-proliferative diabetic retinopathy. The hard exudates are segmented using mathematical morphology and the extracted features are classified by using soft margin SVM. The classification model achieves accuracy of 90.54% for 75 training data and 74 testing data of retinal images.

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KW - classification

KW - hard exudates

KW - non-proliferative diabetic retinopathy

KW - soft margin SVM

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T3 - Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013

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BT - Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013

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Tjandrasa H, Putra RE, Wijaya AY, Arieshanti I. Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM. In Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013. 2013. p. 376-380. 6719993. (Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013). doi: 10.1109/ICCSCE.2013.6719993

Classification of non-proliferative diabetic retinopathy based on hard exudates using soft margin SVM

Abstract

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Keywords

UN SDGs

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