Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

20 Mar 2019Nan WuJason PhangJungkyu ParkYiqiu ShenZhe HuangMasha ZorinStanisław JastrzębskiThibault FévryJoe KatsnelsonEric KimStacey WolfsonUjas ParikhSushma GaddamLeng Leng Young LinKara HoJoshua D. WeinsteinBeatriu ReigYiming GaoHildegard TothKristine PysarenkoAlana LewinJiyon LeeKrystal AirolaEralda MemaStephanie ChungEsther HwangNaziya SamreenS. Gene KimLaura HeacockLinda MoyKyunghyun ChoKrzysztof J. Geras

We present a deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 exams (over 1,000,000 images). Our network achieves an AUC of 0.895 in predicting whether there is a cancer in the breast, when tested on the screening population... (read more)

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