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.

Detalles Bibliográficos
Main Authors:	Niaz, H.M, Tajrian, Nuha, Alam, Mohammad Ahsan Ibn, Limon, Md. Shahriar Khan, Saha, Sharnit
Outros autores:	Hossain, Muhammad Iqbal
Formato:	Thesis
Idioma:	English
Publicado:	Brac University 2024
Subjects:	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)
Acceso en liña:	http://hdl.handle.net/10361/22186

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

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