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Evaluating reproducibility of AI algorithms in digital pathology with DAPPER
Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is mastering computer vision tasks, its application to digital pathology is natural, with the promise of aiding in routine reporting and standardizing results across trials. Deep learning features inferred...
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| Publicado no: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6467397/ https://ncbi.nlm.nih.gov/pubmed/30917113 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006269 |
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