Retrospective multicenter study shows improved ovarian tumor classification accuracy, suggesting better diagnosis methods.
Binary classification model based on DL algorithms using ultrasound images can distinguish between benign and malignant ovarian tumors accurately. Segmentation of solid portion and clinical information of age and CA-125 at diagnosis combined with the pelvic ultrasound images increased the accuracy of the classification model.
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Jeong et al. (2026) studied this question.
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