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Hybrid Transfer Learning for Classification of Uterine Cervix Images for Cervical Cancer Screening
Transfer learning using deep pre-trained convolutional neural networks is increasingly used to solve a large number of problems in the medical field. In spite of being trained using images with entirely different domain, these networks are flexible to adapt to solve a problem in a different domain t...
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| Publicado no: | J Digit Imaging |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7256135/ https://ncbi.nlm.nih.gov/pubmed/31848896 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00269-1 |
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