Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Validation in Zambia of a cervical screening strategy including HPV genotyping and artificial intelligence (AI)-based automated visual evaluation
por: Parham, Groesbeck P., et al.
Publicado: (2023) -
Network Visualization and Pyramidal Feature Comparison for Ablative Treatability Classification Using Digitized Cervix Images
por: Guo, Peng, et al.
Publicado: (2021) -
Deep Metric Learning for Cervical Image Classification
por: PAL, ANABIK, et al.
Publicado: (2021) -
REPRODUCIBLE AND CLINICALLY TRANSLATABLE DEEP NEURAL NETWORKS FOR CANCER SCREENING
por: Ahmed, Syed Rakin, et al.
Publicado: (2023) -
Redesign of a rapid, low‐cost HPV typing assay to support risk‐based cervical screening and management
por: Desai, Kanan T., et al.
Publicado: (2022)