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.

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

Christian Salvatore
;
2021-01-01

Abstract

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.
2021
Artificial intelligence
CA-125 antigen
Machine learning
Ovarian neoplasms
Ultrasonography
Female
Humans
Reproducibility of Results
Ultrasonography
Machine Learning
Ovarian Neoplasms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12076/12359
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