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1
SwinMedNet: Leveraging Swin Transformer for Robust Diabetic..:
, In:
2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
,
Haque, Md. Mominul
;
Akter, Sweety
;
Ashrafi, Adnan Ferdous
- p. 1286-1291 , 2024
Link:
https://doi.org/10.1109/ICEEICT62016.2024.10534544
RT T1 <cTitle>2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)</cTitle>: T1 <Title>SwinMedNet: Leveraging Swin Transformer for Robust Diabetic Retinopathy Classification from the RetinaMNIST2D Dataset</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10534544&Exemplar=1&LAN=DE A1 Haque, Md. Mominul A1 Akter, Sweety A1 Ashrafi, Adnan Ferdous YR 2024 SN 2769-5700 K1 Measurement K1 Deep learning K1 Diabetic retinopathy K1 Image analysis K1 Blindness K1 Transformers K1 Communications technology K1 Diabetic Retinopathy K1 Deep Learning K1 RetinaMNIST2D SP 1286 OP 1291 LK http://dx.doi.org/https://doi.org/10.1109/ICEEICT62016.2024.10534544 DO https://doi.org/10.1109/ICEEICT62016.2024.10534544 SF ELIB - SuUB Bremen
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