Who could benefit the most from using a computer-aided detection system in full-field digital mammography?

被引：0
|
作者：
Na Young Jung
Bong Joo Kang
Hyeon Sook Kim
Eun Suk Cha
Jae Hee Lee
Chang Suk Park
In Young Whang
Sung Hun Kim
Yeong Yi An
Jae Jeong Choi
机构：
[1] The Catholic University of Korea,Department of Radiology, Bucheon St. Mary’s Hospital, College of Medicine
[2] The Catholic University of Korea,Department of Radiology, Seoul St. Mary’s Hospital, College of Medicine
[3] The Catholic University of Korea,Department of Radiology, St. Paul’s Hospital, College of Medicine
[4] Ewha Womans University,Department of Radiology, Ewha Womans Mokdong Hospital, School of Medicine
[5] Human Medical Imaging and Intervention Center,Department of Radiology
[6] The Catholic University of Korea,Department of Radiology, Incheon St. Mary’s Hospital, College of Medicine
[7] The Catholic University of Korea,Department of Radiology, Uijongbu St. Mary’s Hospital, College of Medicine
[8] The Catholic University of Korea,Department of Radiology, St. Vincent’s Hospital, College of Medicine
[9] Hallym University Medical Center,Department of Radiology, School of Medicine
来源：
World Journal of Surgical Oncology | / 12卷
关键词：
Computer-aided detection (CAD); Mammography; Screening;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Computer-aided detection (CAD) on 90 biopsy-proven breast cancer cases acquired on a full-field digital mammography (FFDM) system
    O'Shaughnessy, KF
    Castellino, RA
    Muller, SL
    Benali, K
    [J]. RADIOLOGY, 2001, 221 : 471 - 471
  • [32] Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography
    Mendel, Kayla
    Li, Hui
    Sheth, Deepa
    Giger, Maryellen
    [J]. ACADEMIC RADIOLOGY, 2019, 26 (06) : 735 - 743
  • [33] Sensitivity of integral computer-aided detection with full-field digital mammography for detection of breast cancer according to different histopathological tumor types and appearances
    K Pinker
    N Perry
    S Milner
    K Mokbel
    S Duffy
    [J]. Breast Cancer Research, 12
  • [34] Sensitivity of integral computer-aided detection with full-field digital mammography for detection of breast cancer according to different histopathological tumor types and appearances
    Pinker, K.
    Perry, N.
    Milner, S.
    Mokbel, K.
    Duffy, S.
    [J]. BREAST CANCER RESEARCH, 2010, 12
  • [35] Computer-aided detection of breast masses depicted on full-field digital mammograms: a performance assessment
    Zheng, B.
    Sumkin, J. H.
    Zuley, M. L.
    Lederman, D.
    Wang, X.
    Gur, D.
    [J]. BRITISH JOURNAL OF RADIOLOGY, 2012, 85 (1014): : E153 - E161
  • [36] Computer-Aided Detection Systems for Digital Mammography
    Perez-Diaz, Marlen
    Orozco-Morales, Ruben
    Suarez-Aday, Eduardo
    Pirchio, Rosana
    [J]. VIII LATIN AMERICAN CONFERENCE ON BIOMEDICAL ENGINEERING AND XLII NATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, 2020, 75 : 265 - 271
  • [37] Computer aided detection (CAD) in direct digital full field mammography
    Friedemann, B
    Uwe, F
    Karim, B
    Silivia, O
    Eckhardt, G
    [J]. DIGITAL MAMMOGRAPHY, PROCEEDINGS, 2003, : 253 - 256
  • [38] VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography
    Hieu T. Nguyen
    Ha Q. Nguyen
    Hieu H. Pham
    Khanh Lam
    Linh T. Le
    Minh Dao
    Van Vu
    [J]. Scientific Data, 10
  • [39] Sensitivity of integral computer-aided detection (CAD) with full-field digital mammography (FFDM) for detection of breast cancer according to different histopathological types and appearance
    Pinker, K.
    Milner, S.
    Stephen, D.
    Mokbel, K.
    Perry, N. M.
    [J]. EJC SUPPLEMENTS, 2010, 8 (03): : 227 - 227
  • [40] VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography
    Nguyen, Hieu T. T.
    Nguyen, Ha Q. Q.
    Pham, Hieu H. H.
    Lam, Khanh
    Le, Linh T. T.
    Dao, Minh
    Vu, Van
    [J]. SCIENTIFIC DATA, 2023, 10 (01)
12345