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.

Bibliografische gegevens
Hoofdauteurs: Niaz, H.M, Tajrian, Nuha, Alam, Mohammad Ahsan Ibn, Limon, Md. Shahriar Khan, Saha, Sharnit
Andere auteurs: Hossain, Muhammad Iqbal
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2024
Onderwerpen:
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)
Online toegang:http://hdl.handle.net/10361/22186

Internet

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

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