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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Niaz, H.M, Tajrian, Nuha, Alam, Mohammad Ahsan Ibn, Limon, Md. Shahriar Khan, Saha, Sharnit
Άλλοι συγγραφείς:	Hossain, Muhammad Iqbal
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2024
Θέματα:	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)
Διαθέσιμο Online:	http://hdl.handle.net/10361/22186

http://hdl.handle.net/10361/22186

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