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A Deep Learning approach to detect Diabetic Retinopathy wit..:
, In:
2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
,
L, Antony Rosewelt
;
E, Nivetha
;
M, Sakthi Priya
. - p. 1-7 , 2023
Link:
https://doi.org/10.1109/ACCAI58221.2023.10200176
RT T1
2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
: T1
A Deep Learning approach to detect Diabetic Retinopathy with CNN and ResNet
UL https://suche.suub.uni-bremen.de/peid=ieee-10200176&Exemplar=1&LAN=DE A1 L, Antony Rosewelt A1 E, Nivetha A1 M, Sakthi Priya A1 S, Blessy Carolin YR 2023 K1 Deep learning K1 Training K1 Diabetic retinopathy K1 Analytical models K1 Visualization K1 Computer architecture K1 Predictive models K1 Resnet K1 CNN K1 Deep Learning K1 Classification K1 Diabetic Retinopathy K1 Data Visualization SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ACCAI58221.2023.10200176 DO https://doi.org/10.1109/ACCAI58221.2023.10200176 SF ELIB - SuUB Bremen
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