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Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images combined with HPV types
The aim of the present study was to explore the feasibility of using deep learning, such as artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from colposcopy images combined with human papilloma virus (HPV) types. Among 330 patients who underwent colposcopy and bi...
Salvato in:
| Pubblicato in: | Oncol Lett |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
D.A. Spandidos
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6956417/ https://ncbi.nlm.nih.gov/pubmed/31966086 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3892/ol.2019.11214 |
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