Evaluating different training techniques for a convolutional neural network that classifies Alzheimer’s disease
Effective computer diagnosis of Alzheimer’s disease could bring large benefitsto the millions of people worldwide who does or will suffer from dementia. One popular method for trying to achieve this is the training of convolutional neural networks to classify MRI brain scans. An abundance of trainin...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255261 |