The development of “automated visual evaluation” for cervical cancer screening: The promise and challenges in adapting deep‐learning for clinical testing

There is limited access to effective cervical cancer screening programs in many resource‐limited settings, resulting in continued high cervical cancer burden. Human papillomavirus (HPV) testing is increasingly recognized to be the preferable primary screening approach if affordable due to superior l...

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Detalles Bibliográficos
Autores principales: Desai, Kanan T., Befano, Brian, Xue, Zhiyun, Kelly, Helen, Campos, Nicole G., Egemen, Didem, Gage, Julia C., Rodriguez, Ana‐Cecilia, Sahasrabuddhe, Vikrant, Levitz, David, Pearlman, Paul, Jeronimo, Jose, Antani, Sameer, Schiffman, Mark, de Sanjosé, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Special Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8732320/
https://www.ncbi.nlm.nih.gov/pubmed/34800038
http://dx.doi.org/10.1002/ijc.33879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8732320/
https://www.ncbi.nlm.nih.gov/pubmed/34800038
http://dx.doi.org/10.1002/ijc.33879

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