Detection of proliferative diabetic retinopathy in fundus images using convolution neural network

• Main Authors: Hasliza, Abu Hassan, Marzuqi, Yaakob, Sasni, Ismail, Juwairiyyah, Abd Rahman, Izyani, Mat Rusni, Azlee, Zabidi, Ihsan, Mohd Yassin, Nooritawati, Md Tahir, Suraiya, Mohamad Shafie
• Format: Conference or Workshop Item
• Language: English
• Published: Institute of Physics Publishing 2020
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/37364/1/Detection%20of%20proliferative%20diabetic%20retinopathy%20in%20fundus%20images%20using%20convolution%20neural%20network.pdf; http://umpir.ump.edu.my/id/eprint/37364/; https://doi.org/10.1088/1757-899X/769/1/012029
• Institution: Universiti Malaysia Pahang

Convolution Neural Network (CNN) is one of the techniques under Artificial Neural Network (ANN) used to develop a Deep Learning Neural Network (DLNN) algorithm for detection of Proliferative Diabetic Retinopathy (PDR) on the fundus images. About 116 PDR and 150 Non-Proliferative Diabetic Retinopathy...