Classification of microcalcification clusters in digital breast tomosynthesis using ensemble convolutional neural network

被引：0
|
作者：
Bingbing Xiao
Haotian Sun
You Meng
Yunsong Peng
Xiaodong Yang
Shuangqing Chen
Zhuangzhi Yan
Jian Zheng
机构：
[1] Shanghai University,Institute of Biomedical Engineering, School of Communication and Information Engineering
[2] University of Science and Technology of China,Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology
[3] Chinese Academy of Sciences,Department of Breast Surgery
[4] The Affiliated Suzhou Hospital of Nanjing Medical University,Gusu School
[5] Nanjing Medical University,Department of Radiology
[6] The Affiliated Suzhou Hospital of Nanjing Medical University,undefined
来源：
BioMedical Engineering OnLine | / 20卷
关键词：
Microcalcification cluster; Digital breast tomosynthesis; Convolution neural network; Ensemble learning; Classification;
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
  • [1] Classification of microcalcification clusters in digital breast tomosynthesis using ensemble convolutional neural network
    Xiao, Bingbing
    Sun, Haotian
    Meng, You
    Peng, Yunsong
    Yang, Xiaodong
    Chen, Shuangqing
    Yan, Zhuangzhi
    Zheng, Jian
    BIOMEDICAL ENGINEERING ONLINE, 2021, 20 (01)
  • [2] The reconstruction of microcalcification clusters in digital breast tomosynthesis
    Ho, Candy P. S.
    Tromans, Chris E.
    Schnabel, Julia A.
    Brady, Michael
    MEDICAL IMAGING 2010: COMPUTER - AIDED DIAGNOSIS, 2010, 7624
  • [3] Ensemble of Convolutional Neural Networks for Classification of Breast Microcalcification from Mammograms
    Sert, Egemen
    Ertekin, Seyda
    Halici, Ugur
    2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2017, : 689 - 692
  • [4] Study of the Perception of Microcalcification Clusters in StackMode Digital Breast Tomosynthesis
    Yang, A.
    Carton, A-K
    Bakic, P.
    Kundel, H.
    Nodine, C.
    Maidment, A.
    MEDICAL PHYSICS, 2010, 37 (06) : 3133 - +
  • [5] A radiomics method to classify microcalcification clusters in digital breast tomosynthesis
    Peng, Yunsong
    Wu, Shandong
    Yuan, Gang
    Wu, Zhongyi
    Du, Qiang
    Sun, Haotian
    Yan, Xiaodong
    Chen, Qian
    Zheng, Jian
    MEDICAL PHYSICS, 2020, 47 (08) : 3435 - 3446
  • [6] Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms
    Cai, Hongmin
    Huang, Qinjian
    Rong, Wentao
    Song, Yan
    Li, Jiao
    Wang, Jinhua
    Chen, Jiazhou
    Li, Li
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2019, 2019
  • [7] Deep Convolutional Neural Network Denoising for Digital Breast Tomosynthesis Reconstruction
    Gao, Mingjie
    Samala, Ravi K.
    Fessler, Jeffrey A.
    Chan, Heang-Ping
    MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGING, 2020, 11312
  • [8] Classification of Clusters of Microcalcifications in Digital Breast Tomosynthesis
    Ho, Candy P. S.
    Tromans, Christopher
    Schnabel, Julia A.
    Brady, Michael
    2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 3166 - 3169
  • [9] Classification of Microcalcification Clusters Using Bilateral Features Based on Graph Convolutional Network
    Zhang, Yaqin
    Han, Jiayue
    Chen, Binghui
    Chang, Lin
    Song, Ting
    Cai, Guanxiong
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [10] Convolutional-neural-network based breast thickness correction in digital breast tomosynthesis
    Lee, Seoyoung
    Kim, Hyeongseok
    Lee, Hoyeon
    Jeong, Uijin
    Cho, Seungryong
    15TH INTERNATIONAL WORKSHOP ON BREAST IMAGING (IWBI2020), 2020, 11513
12345