Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review

OBJECTIVES: Different noninvasive imaging methods to predict the chance of malignancy of ovarian tumors are available. However, their predictive value is limited due to subjectivity of the reviewer. Therefore, more objective prediction models are needed. Computer-aided diagnostics (CAD) could be suc...

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Detalles Bibliográficos
Autores principales: Koch, Anna H., Jeelof, Lara S., Muntinga, Caroline L. P., Gootzen, T. A., van de Kruis, Nienke M. A., Nederend, Joost, Boers, Tim, van der Sommen, Fons, Piek, Jurgen M. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Critical Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931983/
https://www.ncbi.nlm.nih.gov/pubmed/36790570
http://dx.doi.org/10.1186/s13244-022-01345-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931983/
https://www.ncbi.nlm.nih.gov/pubmed/36790570
http://dx.doi.org/10.1186/s13244-022-01345-x

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