Application of deep learning to the classification of images from colposcopy

The objective of the present study was to investigate whether deep learning could be applied successfully to the classification of images from colposcopy. For this purpose, a total of 158 patients who underwent conization were enrolled, and medical records and data from the gynecological oncology da...

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Detalles Bibliográficos
Autores principales: Sato, Masakazu, Horie, Koji, Hara, Aki, Miyamoto, Yuichiro, Kurihara, Kazuko, Tomio, Kensuke, Yokota, Harushige
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795879/
https://www.ncbi.nlm.nih.gov/pubmed/29456725
http://dx.doi.org/10.3892/ol.2018.7762

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795879/
https://www.ncbi.nlm.nih.gov/pubmed/29456725
http://dx.doi.org/10.3892/ol.2018.7762

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