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About DG Talk
1) Deep learning techniques can be used to automatically learn hierarchical feature representations from medical images for segmentation and diagnosis tasks. 2) Unsupervised deep learning methods like stacked convolutional independent subspace analysis can learn discriminative image features for hippocampus segmentation in 7T MRI where hand-crafted features are limited. 3) The learned deep features are then used as input to classifiers for the segmentation task.
Detailed Information
| Author: | ['Hayam Mofleh'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 86 |
| Language: | English |
| Format: | |
| Price: | FREE |
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