TY - GEN
T1 - The Diagnosis of Diabetic Retinopathy
T2 - 2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020
AU - Noor, Farhan Nabil Mohd
AU - Mohd Isa, Wan Hasbullah
AU - Khairuddin, Ismail Mohd
AU - Razman, Mohd Azraai Mohd
AU - Jizat, Jessnor Arif Mat
AU - Nasir, Ahmad Fakhri Ab
AU - Musa, Rabiu Muazu
AU - P. P. Abdul Majeed, Anwar
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Diabetic Retinopathy (DR) is one of the eye diseases that occur in patients due to diabetic mellitus complications. Without an earlier diagnosis and treatment, patients suffering from DR may lose their vision permanently. Hence, this preliminary work investigates the efficacy of the use of different transfer learning models, namely VGG16, VGG19 and InceptionV3 in extracting features from the DR images classify the disease via Support Vector Machine (SVM). It was demonstrated from the preliminary work that the InceptionV3-SVM pipeline could achieve a train and test classification accuracy of 89.8% and 86.1%, respectively. The present results suggest the promising employment for auto-diagnosis of DR upon further refinement.
AB - Diabetic Retinopathy (DR) is one of the eye diseases that occur in patients due to diabetic mellitus complications. Without an earlier diagnosis and treatment, patients suffering from DR may lose their vision permanently. Hence, this preliminary work investigates the efficacy of the use of different transfer learning models, namely VGG16, VGG19 and InceptionV3 in extracting features from the DR images classify the disease via Support Vector Machine (SVM). It was demonstrated from the preliminary work that the InceptionV3-SVM pipeline could achieve a train and test classification accuracy of 89.8% and 86.1%, respectively. The present results suggest the promising employment for auto-diagnosis of DR upon further refinement.
KW - Diabetic retinopathy
KW - InceptionV3
KW - SVM
KW - Transfer learning
KW - VGG16
KW - VGG19
UR - http://www.scopus.com/inward/record.url?scp=85104372682&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-70917-4_38
DO - 10.1007/978-3-030-70917-4_38
M3 - Conference Proceeding
AN - SCOPUS:85104372682
SN - 9783030709167
T3 - Advances in Intelligent Systems and Computing
SP - 391
EP - 398
BT - Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020
A2 - Mat Jizat, Jessnor Arif
A2 - Khairuddin, Ismail Mohd
A2 - Mohd Razman, Mohd Azraai
A2 - Ab. Nasir, Ahmad Fakhri
A2 - Abdul Karim, Mohamad Shaiful
A2 - Jaafar, Abdul Aziz
A2 - Hong, Lim Wei
A2 - Abdul Majeed, Anwar P.
A2 - Liu, Pengcheng
A2 - Myung, Hyun
A2 - Choi, Han-Lim
A2 - Susto, Gian-Antonio
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 22 December 2020 through 22 December 2020
ER -
