Performance of radiomics analysis in ultrasound imaging for differentiating benign from malignant adnexal masses: A systematic review and meta‐analysis
Abstract Introduction We present the state of the art of ultrasound‐based machine learning (ML) radiomics models in the context of ovarian masses and analyze their accuracy in differentiating between benign and malignant adnexal masses. Material and Methods Web of Science, PubMed, and Scopus databas...
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| Main Authors: | Francesca Moro, Marianna Ciancia, Maria Sciuto, Giulia Baldassari, Huong Elena Tran, Antonella Carcagnì, Anna Fagotti, Antonia Carla Testa |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-08-01
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| Series: | Acta Obstetricia et Gynecologica Scandinavica |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/aogs.15146 |
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