Using rADioMIcs and machine learning with ultrasonography for the differential diagnosis of myometRiAL tumors (the ADMIRAL pilot study). Radiomics and differential diagnosis of myometrial tumors
Chiappa, V., Interlenghi, M., Salvatore, C., Bertolina, F., Bogani, G., Ditto, A., Martinelli, F., Castiglioni, I., Raspagliesi, F.
Published in Gynecologic oncology (01.06.2021)
Published in Gynecologic oncology (01.06.2021)
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Developing and validating ultrasound‐based radiomics models for predicting high‐risk endometrial cancer
Moro, F., Albanese, M., Boldrini, L., Chiappa, V., Lenkowicz, J., Bertolina, F., Mascilini, F., Moroni, R., Gambacorta, M. A., Raspagliesi, F., Scambia, G., Testa, A. C., Fanfani, F.
Published in Ultrasound in obstetrics & gynecology (01.08.2022)
Published in Ultrasound in obstetrics & gynecology (01.08.2022)
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VP66.24: The adoption of radiomics and machine learning improves the diagnostic processes of women with ovarian masses (aroma study)
Chiappa, V., Bogani, G., Bertolina, F., Interlenghi, M., Salvatore, C., Signorelli, M., Castiglioni, I., Raspagliesi, F.
Published in Ultrasound in obstetrics & gynecology (01.10.2020)
Published in Ultrasound in obstetrics & gynecology (01.10.2020)
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OC10.01: Developing and validating ultrasound‐based radiomics models for predicting high‐risk category in endometrial cancer patients
Moro, F., Albanese, M., Boldrini, L., Chiappa, V., Lenkowicz, J., Bertolina, F., Mascilini, F., Moroni, R., Gambacorta, M., Raspagliesi, F., Scambia, G., Testa, A.C., Fanfani, F.
Published in Ultrasound in obstetrics & gynecology (01.10.2021)
Published in Ultrasound in obstetrics & gynecology (01.10.2021)
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319 Gynecologic malignancies in the era of precision medicine
Mantiero, M, Ducceschi, M, Bini, M, Lopez, S, Duca, M, Damian, S, Ditto, A, Martinelli, F, Roberti Maggiore, U Leone, Bogani, G, Signorelli, M, Bertolina, F, Chiappa, V, Paolini, B, Agnelli, L, Raspagliesi, F
Published in International journal of gynecological cancer (12.10.2021)
Published in International journal of gynecological cancer (12.10.2021)
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387 Developing and validating ultrasound-based radiomics models for predicting high-risk endometrial cancer
Moro, F, Albanese, M, Boldrini, L, Chiappa, V, Lenkowicz, J, Bertolina, F, Mascilini, F, Moroni, R, Gambacorta, MA, Raspagliesi, F, Scambia, G, Testa, AC, Fanfani, F
Published in International journal of gynecological cancer (12.10.2021)
Published in International journal of gynecological cancer (12.10.2021)
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Journal Article