DR-Net with Convolution Neural Network
Deep learning had become the leading methodology for detecting diabetic retinopathy (DR) from fundus images. Given a large samples of fundus images with labelled medical condition i.e., diabetic retinopathy, an efficient convolution neural network (CNN) classifier can be trained. Progress had been m...
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| Main Authors: | Aujih, A.B., Shapiai, M.I., Meriaudeau, F., Tang, T.B. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29180 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124169699&doi=10.1109%2fICIAS49414.2021.9642615&partnerID=40&md5=360d14c370aaea983cda29f53a04618b http://eprints.utp.edu.my/29180/ |
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