Publications by authors named "Yi-Shuang Meng"
Article Synopsis
- Deep learning (DL) algorithms can enhance the classification of ovarian tumors by analyzing multimodal ultrasound (US) images, aiming to differentiate between benign and malignant tumors.
- The study involved 422 women with a mix of benign and malignant tumors, where the data was split for training, validation, and testing, and comparisons were made against the Ovarian-Adnexal Reporting and Data System (O-RADS) and expert assessments.
- Results showed that DL algorithms achieved a similar level of accuracy in detecting malignancy (AUC of 0.93) compared to O-RADS (0.92) and expert assessments (0.97), indicating that DL can be a reliable tool for ovarian tumor classification.
