The Diagnosis of Diabetic Retinopathy: A Transfer Learning with Support Vector Machine Approach

Farhan Nabil Mohd Noor; Wan Hasbullah Mohd Isa; Ismail Mohd Khairuddin; Mohd Azraai Mohd Razman; Jessnor Arif Mat Jizat; Ahmad Fakhri Ab Nasir; Rabiu Muazu Musa; Anwar P. P. Abdul Majeed

doi:10.1007/978-3-030-70917-4_38

The Diagnosis of Diabetic Retinopathy: A Transfer Learning with Support Vector Machine Approach

Farhan Nabil Mohd Noor
, Wan Hasbullah Mohd Isa^*
, Ismail Mohd Khairuddin
, Mohd Azraai Mohd Razman
, Jessnor Arif Mat Jizat
, Ahmad Fakhri Ab Nasir
, Rabiu Muazu Musa
, Anwar P. P. Abdul Majeed

^*Corresponding author for this work

Universiti Malaysia Pahang Al-Sultan Abdullah
Universiti Malaysia Terengganu
Innovative Manufacturing
Centre for Software Development & Integrated Computing

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

8 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020
Editors	Jessnor Arif Mat Jizat, Ismail Mohd Khairuddin, Mohd Azraai Mohd Razman, Ahmad Fakhri Ab. Nasir, Mohamad Shaiful Abdul Karim, Abdul Aziz Jaafar, Lim Wei Hong, Anwar P. Abdul Majeed, Pengcheng Liu, Hyun Myung, Han-Lim Choi, Gian-Antonio Susto
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	391-398
Number of pages	8
ISBN (Print)	9783030709167
DOIs	https://doi.org/10.1007/978-3-030-70917-4_38
Publication status	Published - 2021
Externally published	Yes
Event	2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020 - Pekan, Malaysia Duration: 22 Dec 2020 → 22 Dec 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1350 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020
Country/Territory	Malaysia
City	Pekan
Period	22/12/20 → 22/12/20

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Diabetic retinopathy
InceptionV3
SVM
Transfer learning
VGG16
VGG19

Access to Document

10.1007/978-3-030-70917-4_38

Cite this

Noor, F. N. M., Mohd Isa, W. H., Khairuddin, I. M., Razman, M. A. M., Jizat, J. A. M., Nasir, A. F. A., Musa, R. M., & P. P. Abdul Majeed, A. (2021). The Diagnosis of Diabetic Retinopathy: A Transfer Learning with Support Vector Machine Approach. In J. A. Mat Jizat, I. M. Khairuddin, M. A. Mohd Razman, A. F. Ab. Nasir, M. S. Abdul Karim, A. A. Jaafar, L. W. Hong, A. P. Abdul Majeed, P. Liu, H. Myung, H.-L. Choi, & G.-A. Susto (Eds.), Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020 (pp. 391-398). (Advances in Intelligent Systems and Computing; Vol. 1350 AISC). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-70917-4_38

Noor, Farhan Nabil Mohd ; Mohd Isa, Wan Hasbullah ; Khairuddin, Ismail Mohd et al. / The Diagnosis of Diabetic Retinopathy : A Transfer Learning with Support Vector Machine Approach. Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020. editor / Jessnor Arif Mat Jizat ; Ismail Mohd Khairuddin ; Mohd Azraai Mohd Razman ; Ahmad Fakhri Ab. Nasir ; Mohamad Shaiful Abdul Karim ; Abdul Aziz Jaafar ; Lim Wei Hong ; Anwar P. Abdul Majeed ; Pengcheng Liu ; Hyun Myung ; Han-Lim Choi ; Gian-Antonio Susto. Springer Science and Business Media Deutschland GmbH, 2021. pp. 391-398 (Advances in Intelligent Systems and Computing).

@inproceedings{e7c7065c321c4d08aa1a2fb9c535adfe,

title = "The Diagnosis of Diabetic Retinopathy: A Transfer Learning with Support Vector Machine Approach",

abstract = "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.",

keywords = "Diabetic retinopathy, InceptionV3, SVM, Transfer learning, VGG16, VGG19",

author = "Noor, \{Farhan Nabil Mohd\} and \{Mohd Isa\}, \{Wan Hasbullah\} and Khairuddin, \{Ismail Mohd\} and Razman, \{Mohd Azraai Mohd\} and Jizat, \{Jessnor Arif Mat\} and Nasir, \{Ahmad Fakhri Ab\} and Musa, \{Rabiu Muazu\} and \{P. P. Abdul Majeed\}, Anwar",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020 ; Conference date: 22-12-2020 Through 22-12-2020",

year = "2021",

doi = "10.1007/978-3-030-70917-4\_38",

language = "English",

isbn = "9783030709167",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "391--398",

editor = "\{Mat Jizat\}, \{Jessnor Arif\} and Khairuddin, \{Ismail Mohd\} and \{Mohd Razman\}, \{Mohd Azraai\} and \{Ab. Nasir\}, \{Ahmad Fakhri\} and \{Abdul Karim\}, \{Mohamad Shaiful\} and Jaafar, \{Abdul Aziz\} and Hong, \{Lim Wei\} and \{Abdul Majeed\}, \{Anwar P.\} and Pengcheng Liu and Hyun Myung and Han-Lim Choi and Gian-Antonio Susto",

booktitle = "Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020",

}

Noor, FNM, Mohd Isa, WH, Khairuddin, IM, Razman, MAM, Jizat, JAM, Nasir, AFA, Musa, RM & P. P. Abdul Majeed, A 2021, The Diagnosis of Diabetic Retinopathy: A Transfer Learning with Support Vector Machine Approach. in JA Mat Jizat, IM Khairuddin, MA Mohd Razman, AF Ab. Nasir, MS Abdul Karim, AA Jaafar, LW Hong, AP Abdul Majeed, P Liu, H Myung, H-L Choi & G-A Susto (eds), Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020. Advances in Intelligent Systems and Computing, vol. 1350 AISC, Springer Science and Business Media Deutschland GmbH, pp. 391-398, 2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020, Pekan, Malaysia, 22/12/20. https://doi.org/10.1007/978-3-030-70917-4_38

The Diagnosis of Diabetic Retinopathy: A Transfer Learning with Support Vector Machine Approach. / Noor, Farhan Nabil Mohd; Mohd Isa, Wan Hasbullah; Khairuddin, Ismail Mohd et al.
Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020. ed. / Jessnor Arif Mat Jizat; Ismail Mohd Khairuddin; Mohd Azraai Mohd Razman; Ahmad Fakhri Ab. Nasir; Mohamad Shaiful Abdul Karim; Abdul Aziz Jaafar; Lim Wei Hong; Anwar P. Abdul Majeed; Pengcheng Liu; Hyun Myung; Han-Lim Choi; Gian-Antonio Susto. Springer Science and Business Media Deutschland GmbH, 2021. p. 391-398 (Advances in Intelligent Systems and Computing; Vol. 1350 AISC).

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

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

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 - https://www.scopus.com/pages/publications/85104372682

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 -

Noor FNM, Mohd Isa WH, Khairuddin IM, Razman MAM, Jizat JAM, Nasir AFA et al. The Diagnosis of Diabetic Retinopathy: A Transfer Learning with Support Vector Machine Approach. In Mat Jizat JA, Khairuddin IM, Mohd Razman MA, Ab. Nasir AF, Abdul Karim MS, Jaafar AA, Hong LW, Abdul Majeed AP, Liu P, Myung H, Choi HL, Susto GA, editors, Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 391-398. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-70917-4_38

The Diagnosis of Diabetic Retinopathy: A Transfer Learning with Support Vector Machine Approach

Abstract

Publication series

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UN SDGs

Keywords

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