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About Puch Et Al - 2019 - Few-Shot Learning With Deep Triplet Networks For Brain Imaging Modality
This paper proposes a few-shot learning model based on Deep Triplet Networks that is capable of classifying medical imaging modalities even when training data is limited. The model learns image embeddings that represent class similarities and can differentiate modalities from few examples. Experiments show the model outperforms a standard CNN for few-shot modality classification tasks.
Detailed Information
| Author: | ['A BC'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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