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About Accepted Manuscript: Cognitive Systems Research
This document describes a study that uses deep transfer learning to automatically classify brain MR images as normal or abnormal. The researchers used a ResNet34 convolutional neural network model and trained it on 613 MR images. They applied techniques like data augmentation, optimal learning rate finding, and fine-tuning to train the model. The proposed model achieved 100% classification accuracy based on 5-fold cross validation. The developed system can help radiologists efficiently screen large numbers of MR images to detect abnormalities.
Detailed Information
| Author: | ['Dhanalekshmi Yedurkar'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 27 |
| Language: | English |
| Format: | |
| Price: | FREE |
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