TY - GEN
T1 - Improving Diabetic Retinopathy Classification
T2 - 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023
AU - Liu, Taimingwang
AU - Wu, Chengzhangzheng
AU - Yang, Junqing
AU - Liu, Chenguang
AU - Majeed, Anwar P.P.Abdul
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Diabetic retinopathy (DR) is a serious eye condition that can lead to blindness. Owing to the advancement of technology, computer-aided diagnosis enables clinicians to act swiftly in the diagnosis of DR. The study explores the efficacy of feature-based transfer learning in the classification of DR by examining the ability of two pre-trained convolutional neural networks architecture, i.e.,MobileNet and MobileNetV2 in extracting meaningful features from retina scanned images. The Logistic Regression (LR) is used to classify the different classes of DR from the extracted features. It was shown from the present study that the MobileNet+LR yielded a better classification of the classes. It further demonstrates its feasibility as a plausible tool for early detection and treatment of the disease.
AB - Diabetic retinopathy (DR) is a serious eye condition that can lead to blindness. Owing to the advancement of technology, computer-aided diagnosis enables clinicians to act swiftly in the diagnosis of DR. The study explores the efficacy of feature-based transfer learning in the classification of DR by examining the ability of two pre-trained convolutional neural networks architecture, i.e.,MobileNet and MobileNetV2 in extracting meaningful features from retina scanned images. The Logistic Regression (LR) is used to classify the different classes of DR from the extracted features. It was shown from the present study that the MobileNet+LR yielded a better classification of the classes. It further demonstrates its feasibility as a plausible tool for early detection and treatment of the disease.
KW - Computer-aided diagnosis
KW - Deep learning
KW - Diabetic retinopathy
KW - Transfer learning
UR - http://www.scopus.com/inward/record.url?scp=85211316910&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-70687-5_16
DO - 10.1007/978-3-031-70687-5_16
M3 - Conference Proceeding
AN - SCOPUS:85211316910
SN - 9783031706868
T3 - Lecture Notes in Networks and Systems
SP - 147
EP - 153
BT - Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications
A2 - Abdul Majeed, Anwar P. P.
A2 - Yap, Eng Hwa
A2 - Liu, Pengcheng
A2 - Huang, Xiaowei
A2 - Nguyen, Anh
A2 - Chen, Wei
A2 - Kim, Ue-Hwan
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 6 December 2023 through 8 December 2023
ER -
