Beyond the AJR: Deep Learning Model for Risk- Based Breast Cancer Screening

被引:0
|
作者
Yoon, Jung Hyun [1 ,2 ]
Kim, Eun-Kyung [2 ,3 ]
机构
[1] Yonsei Univ, Res Inst Radiol Sci, Coll Med, Seoul, South Korea
[2] Severance Hosp, Dept Radiol, Seoul, South Korea
[3] Yongin Severance Hosp, Dept Radiol, 363 Dongbaekjukjeon Daero, Seoul, South Korea
关键词
D O I
10.2214/AJR.22.28703
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
引用
收藏
页码:141 / 141
页数:1
相关论文
共 50 条
  • [31] Beyond the AJR: Disparities in Lung Cancer Screening Adherence Persist in the Veterans Health Administration
    Sandler, Kim L.
    Deppen, Stephen A.
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2022, 218 (05) : 926 - 926
  • [32] Antioxidants and breast cancer risk- a population-based case-control study in Canada
    Sai Yi Pan
    Jia Zhou
    Laurie Gibbons
    Howard Morrison
    Shi Wu Wen
    [J]. BMC Cancer, 11
  • [33] Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations
    Chang Ming
    Valeria Viassolo
    Nicole Probst-Hensch
    Ivo D. Dinov
    Pierre O. Chappuis
    Maria C. Katapodi
    [J]. British Journal of Cancer, 2020, 123 : 860 - 867
  • [34] Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations
    Ming, Chang
    Viassolo, Valeria
    Probst-Hensch, Nicole
    Dinov, Ivo D.
    Chappuis, Pierre O.
    Katapodi, Maria C.
    [J]. BRITISH JOURNAL OF CANCER, 2020, 123 (05) : 860 - 867
  • [35] Breast Cancer Risk Estimation and Risk-based Screening
    Kerlikowske, Karla
    [J]. MENOPAUSE-THE JOURNAL OF THE NORTH AMERICAN MENOPAUSE SOCIETY, 2023, 30 (12): : 1254 - 1254
  • [36] Deep-Learning based Analyses of Mammograms to Improve the Estimation of breast Cancer Risk
    Lizzi, Francesca
    Fantacci, Maria Evelina
    Oliva, P.
    [J]. ERCIM NEWS, 2019, (118): : 16 - 17
  • [37] Breast Cancer Screening: Beyond Mortality
    Yaffe, Martin J.
    Jong, Roberta A.
    Pritchard, Kathleen, I
    [J]. JOURNAL OF BREAST IMAGING, 2019, 1 (03) : 161 - 165
  • [38] Longitudinal Interpretability of Deep Learning- based Breast Cancer Risk Prediction Model: Comparison of Different Attribution Methods
    Klanecek, Zan
    Wang, Yao-Kuan
    Wagner, Tobias
    Cockmartin, Lesley
    Marshall, Nicholas
    Schott, Brayden
    Deatsch, Ali
    Studen, Andrej
    Hertl, Kristijana
    Jarm, Katja
    Krajc, Mateja
    Vrhovec, Milos
    Bosmans, Hilde
    Jeraj, Robert
    [J]. 17TH INTERNATIONAL WORKSHOP ON BREAST IMAGING, IWBI 2024, 2024, 13174
  • [39] The Role of Deep Learning in Breast Screening
    Harvey, Hugh
    Karpati, Edith
    Khara, Galvin
    Korkinof, Dimitrios
    Ng, Annie
    Austin, Christopher
    Rijken, Tobias
    Kecskemethy, Peter
    [J]. CURRENT BREAST CANCER REPORTS, 2019, 11 (01) : 17 - 22
  • [40] The Role of Deep Learning in Breast Screening
    Hugh Harvey
    Edith Karpati
    Galvin Khara
    Dimitrios Korkinof
    Annie Ng
    Christopher Austin
    Tobias Rijken
    Peter Kecskemethy
    [J]. Current Breast Cancer Reports, 2019, 11 : 17 - 22