View Proposal
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Proposer
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Mahmoud Mousa
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Title
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Deep Learning-based Image Recognition for Medical Diagnostics
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Goal
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This project involves using deep learning techniques to analyze medical images. You can use this project to build a system that can automatically detect diseases from medical imaging images. In this project, You can apply different Deep Learning techniques on MRI/CT imaging to diagnose specific disease like beast cancer, brain Tumor, pneumonia, potential COVID,….,etc
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Description
- This project focuses on leveraging the power of deep learning techniques for medical image recognition and diagnosis. The project will involve collecting or utilizing existing medical image datasets, preprocessing the images, and training a CNN architecture, for example, to learn meaningful representations and features from the images. The model will then be evaluated on a separate test set to assess its performance in detecting and classifying diseases or abnormalities accurately.
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Background
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Url
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Difficulty Level
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Moderate
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Ethical Approval
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None
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Number Of Students
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0
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Supervisor
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Mahmoud Mousa
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Keywords
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deep learning, cnn, medical diagnosing, image recognition
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Degrees
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Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Bachelor of Science in Computing Science
Postgraduate Diploma in Artificial Intelligence