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Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction
BACKGROUND: There is growing interest in utilizing artificial intelligence, and particularly deep learning, for computer vision in histopathology. While accumulating studies highlight expert-level performance of convolutional neural networks (CNNs) on focused classification tasks, most studies rely...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5956828/ https://ncbi.nlm.nih.gov/pubmed/29769044 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2184-4 |
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