Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.

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第一作者： Nan,Wu

第一单位： Center for Data Science, New York University, New York City, USA. nw1045@nyu.edu.

作者： Nan,Wu ^[1] ; Zhe,Huang ^[2] ; Yiqiu,Shen ^[2] ; Jungkyu,Park ^[2] ; Jason,Phang ^[2] ; Taro,Makino ^[2] ; S,Gene Kim ^[3] ; Kyunghyun,Cho ^[4] ; Laura,Heacock ^[5] ; Linda,Moy ^[6] ; Krzysztof J,Geras ^[7]

作者单位： Center for Data Science, New York University, New York City, USA. nw1045@nyu.edu. ^[1] Center for Data Science, New York University, New York City, USA. ^[2] Department of Radiology, New York University School of Medicine, New York City, USA.;Perlmutter Cancer Center, NYU Langone Health, New York City, USA.;Center for Advanced Imaging Innovation and Research, NYU Langone Health, New York City, USA. ^[3] Center for Data Science, New York University, New York City, USA.;Department of Computer Science, Courant Institute of Mathematical Sciences, New York University, New York City, USA.;CIFAR Associate Fellow, New York City, USA. ^[4] Department of Radiology, New York University School of Medicine, New York City, USA. ^[5] Department of Radiology, New York University School of Medicine, New York City, USA.;Perlmutter Cancer Center, NYU Langone Health, New York City, USA. ^[6] Center for Data Science, New York University, New York City, USA.;Department of Radiology, New York University School of Medicine, New York City, USA.;Center for Advanced Imaging Innovation and Research, NYU Langone Health, New York City, USA. ^[7]

关键词 Breast cancer Deep neural networks Global context Local patterns Screening mammography

主题词活组织检查(Biopsy);乳腺肿瘤(Breast Neoplasms);癌症早期检测(Early Detection of Cancer);女(雌)性(Female);人类(Humans);乳房X线摄影术(Mammography)

DOI 10.1007/s10278-021-00530-6

PMID 34731338

发布时间 2024-04-04

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