Detection of Diabetic Retinopathy using Deep Learning and Transfer Learning Techniques with Oversampling to Address Imbalanced Dataset – Teodora RANĐELOVIĆ
Teodora RANĐELOVIĆ
Bachelor's thesis
Detection of Diabetic Retinopathy using Deep Learning and Transfer Learning Techniques with Oversampling to Address Imbalanced Dataset
Detection of Diabetic Retinopathy using Deep Learning and Transfer Learning techniques with oversampling o address imbalanced dataset
Abstract:
The study aims to develop a system for detecting diabetic retinopathy using deep learning. In this study I have explored transfer learning with four distinct models and addressed the issue of an unbalanced dataset with oversampling. The final experiment achieved a significant improvement in accuracy and quadratic kappa score. The study highlights the potential of deep learning and the importance of …moreAbstract:
The study aims to develop a system for detecting diabetic retinopathy using deep learning. In this study I have explored transfer learning with four distinct models and addressed the issue of an unbalanced dataset with oversampling. The final experiment achieved a significant improvement in accuracy and quadratic kappa score. The study highlights the potential of deep learning and the importance of …more
Language used: English
Date on which the thesis was submitted / produced: 13. 5. 2023
Thesis defence
- Supervisor: Elisabeth Rumetshofer, MSc.
Citation record
ISO 690-compliant citation record:
RAN$\{\backslash$DJ$\}$ELOVI$\backslash$'C, Teodora. \textit{Detection of Diabetic Retinopathy using Deep Learning and Transfer Learning Techniques with Oversampling to Address Imbalanced Dataset}. Online. Bachelor's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2023. Available from: https://theses.cz/id/dfvbxd/.
The right form of listing the thesis as a source quoted
RANĐELOVIĆ, Teodora. Detection of Diabetic Retinopathy using Deep Learning and Transfer Learning Techniques with Oversampling to Address Imbalanced Dataset. České Budějovice, 2023. bakalářská práce (Bc.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
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Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceBachelor programme / field:
Applied Informatics / Bioinformatics
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