Ultrasound image analysis using deep neural networks for discriminating between benign and malignant ovarian tumors: comparison with expert subjective assessment

OBJECTIVES: To develop and test the performance of computerized ultrasound image analysis using deep neural networks (DNNs) in discriminating between benign and malignant ovarian tumors and to compare its diagnostic accuracy with that of subjective assessment (SA) by an ultrasound expert. METHODS: W...

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Detalles Bibliográficos
Autores principales: Christiansen, F., Epstein, E. L., Smedberg, E., Åkerlund, M., Smith, K., Epstein, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd. 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839489/
https://www.ncbi.nlm.nih.gov/pubmed/33142359
http://dx.doi.org/10.1002/uog.23530

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839489/
https://www.ncbi.nlm.nih.gov/pubmed/33142359
http://dx.doi.org/10.1002/uog.23530

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