View Proposal
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Proposer
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Medhdhar Salem Ali Muthanna Al- Gaashani
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Title
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Medical Image Classification for Kidney Stone (CT) and Retinal Disease (OCT) Detection
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Goal
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Description
- This project develops deep learning models for classifying medical images using public Kidney Stone CT and Retinal OCT datasets. Students preprocess and augment the images, train and compare transfer-learning models such as MobileNetV2, EfficientNet-B0, or ResNet, and evaluate them using accuracy, precision, recall, F1-score, MCC, and confusion matrices. Model efficiency can also be compared using parameter count and FLOPs. Grad- CAM may be added for explainability, and a simple Streamlit or Flask demo can display predictions and heatmaps.
- Resources
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Kidney Stone CT dataset (Yildirim et al.): https://github.com/yildirimozal/Kidney_stone_detection — Retinal OCT dataset (Kermany et al.): https://www.kaggle.com/datasets/paultimothymooney/kermany2018
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Background
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Url
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Difficulty Level
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Easy
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Ethical Approval
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None
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Number Of Students
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1
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Supervisor
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Medhdhar Salem Ali Muthanna Al- Gaashani
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Keywords
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Degrees
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Bachelor of Science in Computational Sciences and Software Engineering