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Volumetric Medical Classification using Deep Learning: A comparative study on classifying Alzheimer's disease using Convolutional Neural Networks
This work sets about designing and implementing a number of deep-learning models capable of identifying Alzheimer's disease from MRI brain scans. A common problem with detecting the disease is the difficulty in doing so before outward mental symptoms have begun to show. Therefore, the models attempt...
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2024
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