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Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images
The aim of the present study was to explore the feasibility of using deep learning as artificial intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy images. A total of 330 patients who underwent colposcopy and biopsy by gynecologic oncologists were enrolled in th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
D.A. Spandidos
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826263/ https://www.ncbi.nlm.nih.gov/pubmed/31692958 http://dx.doi.org/10.3892/mco.2019.1932 |