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.

Bibliographic Details
Main Authors: Niaz, H.M, Tajrian, Nuha, Alam, Mohammad Ahsan Ibn, Limon, Md. Shahriar Khan, Saha, Sharnit
Other Authors: Hossain, Muhammad Iqbal
Format: Thesis
Language:English
Published: 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)
Online Access:http://hdl.handle.net/10361/22186

Internet

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

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