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An automated algorithm to extract features from retinal fundus images to detect diabetic retinopathy and assess its severity using deep learning
| Main Author: | |
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| Format: | Ph.D Thesis |
| Published: |
Government Engineering college, Thrissur
2020
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| LEADER | 00413 a2200085 4500 | ||
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| 100 | |a Anil Kumar, K R | ||
| 245 | |a An automated algorithm to extract features from retinal fundus images to detect diabetic retinopathy and assess its severity using deep learning | ||
| 260 | |b Government Engineering college, Thrissur |c 2020 | ||
| 999 | |c 359943 |d 359943 | ||
| 952 | |0 0 |1 0 |4 0 |7 0 |9 418080 |a UL |b UL |c PROC |d 2021-08-05 |l 0 |p NB7646 |r 2021-08-05 |w 2021-08-05 |y TH | ||