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Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer
Algorithms can improve the objectivity and efficiency of histopathologic slide analysis. In this paper, we investigated the impact of scanning systems (scanners) and cycle-GAN-based normalization on algorithm performance, by comparing different deep learning models to automatically detect prostate c...
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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7462850/ https://ncbi.nlm.nih.gov/pubmed/32873856 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-71420-0 |
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