Optimizing the MRI Pelvis Protocol for O-RADS MRI
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The authors aim to optimize the MRI pelvis protocol for the Ovarian-Adnexal Reporting and Data System (O-RADS) MRI to enhance the characterization of adnexal lesions and improve cancer risk assessment. They emphasize the importance of using a standardized MRI protocol that includes specific imaging sequences to achieve accurate risk stratification and provide practical tips for optimizing image quality and interpretation.
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From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models for Ultrasound-Based Risk Stratification of Ovarian Masses
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