A decision support system based on radiomics and machine learning to predict the risk of malignancy of ovarian masses from transvaginal ultrasonography and serum CA-125

BACKGROUND: To evaluate the performance of a decision support system (DSS) based on radiomics and machine learning in predicting the risk of malignancy of ovarian masses (OMs) from transvaginal ultrasonography (TUS) and serum CA-125. METHODS: A total of 274 consecutive patients who underwent TUS (by...

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Detalles Bibliográficos
Autores principales: Chiappa, Valentina, Interlenghi, Matteo, Bogani, Giorgio, Salvatore, Christian, Bertolina, Francesca, Sarpietro, Giuseppe, Signorelli, Mauro, Ronzulli, Dominique, Castiglioni, Isabella, Raspagliesi, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310829/
https://www.ncbi.nlm.nih.gov/pubmed/34308487
http://dx.doi.org/10.1186/s41747-021-00226-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310829/
https://www.ncbi.nlm.nih.gov/pubmed/34308487
http://dx.doi.org/10.1186/s41747-021-00226-0

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