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Laterality Classification of Fundus Images Using Interpretable Deep Neural Network
In this paper, we aimed to understand and analyze the outputs of a convolutional neural network model that classifies the laterality of fundus images. Our model not only automatizes the classification process, which results in reducing the labors of clinicians, but also highlights the key regions in...
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| Publicado no: | J Digit Imaging |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6261190/ https://ncbi.nlm.nih.gov/pubmed/29948436 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-018-0099-2 |
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