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Artificial classification of cervical squamous lesions in ThinPrep cytologic tests using a deep convolutional neural network
The diagnosis of squamous cell carcinoma requires the accurate classification of cervical squamous lesions in the ThinPrep cytologic test (TCT). It primarily relies on a pathologist's interpretation under a microscope. Deep convolutional neural networks (DCNN) have played an increasingly import...
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| Publicado no: | Oncol Lett |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
D.A. Spandidos
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7448561/ https://ncbi.nlm.nih.gov/pubmed/32863926 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3892/ol.2020.11974 |
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