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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
D.A. Spandidos
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448561/ https://www.ncbi.nlm.nih.gov/pubmed/32863926 http://dx.doi.org/10.3892/ol.2020.11974 |