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.

書誌詳細
主要な著者:	Niaz, H.M, Tajrian, Nuha, Alam, Mohammad Ahsan Ibn, Limon, Md. Shahriar Khan, Saha, Sharnit
その他の著者:	Hossain, Muhammad Iqbal
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2024
主題:	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)
オンライン･アクセス:	http://hdl.handle.net/10361/22186

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