Analytical Validation of a Deep Neural Network Algorithm for the Detection of Ovarian Cancer

Early detection of ovarian cancer, the deadliest gynecologic cancer, is crucial for reducing mortality. Current noninvasive risk assessment measures include protein biomarkers in combination with other clinical factors, which vary in their accuracy. Machine learning can be applied to optimizing the...

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Detalles Bibliográficos
Autores principales: Reilly, Gerard, Bullock, Rowan G., Greenwood, Jessica, Ure, Daniel R., Stewart, Erin, Davidoff, Pierre, DeGrazia, Justin, Fritsche, Herbert, Dunton, Charles J., Bhardwaj, Nitin, Northrop, Lesley E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2022
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225600/
https://www.ncbi.nlm.nih.gov/pubmed/35671415
http://dx.doi.org/10.1200/CCI.21.00192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225600/
https://www.ncbi.nlm.nih.gov/pubmed/35671415
http://dx.doi.org/10.1200/CCI.21.00192

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