Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis

23 Jan 2020Sadanand SinghThomas Paul MatthewsMeet ShahBrent MombourquetteTrevor TsueAaron LongRanya AlmohsenStefano PedemonteJason Su

Mammography-based screening has helped reduce the breast cancer mortality rate, but has also been associated with potential harms due to low specificity, leading to unnecessary exams or procedures, and low sensitivity. Digital breast tomosynthesis (DBT) improves on conventional mammography by increasing both sensitivity and specificity and is becoming common in clinical settings... (read more)

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