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.

Bibliographische Detailangaben
Hauptverfasser: Niaz, H.M, Tajrian, Nuha, Alam, Mohammad Ahsan Ibn, Limon, Md. Shahriar Khan, Saha, Sharnit
Weitere Verfasser: Hossain, Muhammad Iqbal
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2024
Schlagworte:
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 Zugang:http://hdl.handle.net/10361/22186

Online

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

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