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Multitask deep learning on mammography to predict extensive intraductal component in invasive breast cancer.

Huei-Yi TsaiYu-Wei KaoJo-Ching WangTsung-Yu TsaiWei-Shiuan ChungJui-Sheng HsuMing-Feng HouShih-Feng Weng
Published in: European radiology (2023)
• Extensive intraductal component (EIC) is an independent risk factor of local tumor recurrence after breast-conserving surgery. • A mammography-based deep learning model was trained to predict extensive intraductal component close to radiologists' reading. • The developed multitask deep learning model could perform simultaneous imaging finding classification and extensive intraductal component prediction.
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