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• W3154685621 abstract "Background: The successful recognition of benign and malignant breast nodules using ultrasound images is based mainly on supervised learning that requires a large number of labeled images. However, because high-quality labeling is expensive and time-consuming, we hypothesized that semi-supervised learning could provide a low-cost and powerful alternative approach. This study aimed to develop an accurate semi-supervised recognition method and compared its performance with supervised methods and sonographers." @default.
• W3154685621 created "2021-04-26" @default.
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• W3154685621 date "2021-06-01" @default.
• W3154685621 modified "2023-10-03" @default.
• W3154685621 title "Detection and recognition of ultrasound breast nodules based on semi-supervised deep learning: a powerful alternative strategy" @default.
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• W3154685621 doi "https://doi.org/10.21037/qims-20-12b" @default.
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