Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection

Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografiska uppgifter
Huvudupphovsmän:	Niaz, H.M, Tajrian, Nuha, Alam, Mohammad Ahsan Ibn, Limon, Md. Shahriar Khan, Saha, Sharnit
Övriga upphovsmän:	Hossain, Muhammad Iqbal
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2024
Ämnen:	Diabetic Retinopathy (DR) Hybrid model Fusion model EfficientNetV2B3 EfficientNetV2S Inception-ResnetV2 MobileNetV2 Feature extraction KNN classifier APTOS-2019 DDR grading ExplainableAI LIME Artificial intelligence Neural networks (Computer science)
Länkar:	http://hdl.handle.net/10361/22186

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