Learning multi-frequency features in convolutional network for mammography classification

被引:0
作者
Yiming Wang
Yunliang Qi
Chunbo Xu
Meng Lou
Yide Ma
机构
[1] Lanzhou University,School of Information Science and Engineering
来源
Medical & Biological Engineering & Computing | 2022年 / 60卷
关键词
Deep learning; Breast cancer diagnosis; Mammography; Classification;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2051 / 2062
页数:11
相关论文
共 30 条
  • [1] Sung H(2021)Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries CA: A Cancer Journal for Clinicians 71 209-249
  • [2] Ferlay J(2017)Detection and classification of tumor in mammograms using discrete wavelet transform and support vector machine International Research Journal of Engineering and Technology (IRJET) 4 1328-1334
  • [3] Siegel RL(2019)Deep learning for breast cancer diagnosis from mammograms-a comparative study Journal of Imaging 5 37-2365
  • [4] Laversanne M(2017)Automated analysis of unregistered multi-view mammograms with deep learning IEEE Transactions on Medical Imaging 36 2355-382
  • [5] Soerjomataram I(2020)Automated diagnosis of multi-plane breast ultrasonography images using deep neural networks Neurocomputing 403 371-9
  • [6] Jemal A(2017)A curated mammography data set for use in computer-aided detection and diagnosis research Scientific Data 4 1-undefined
  • [7] Bray F(undefined)undefined undefined undefined undefined-undefined
  • [8] Sehrawat D(undefined)undefined undefined undefined undefined-undefined
  • [9] Sehrawat A(undefined)undefined undefined undefined undefined-undefined
  • [10] Jaiswal D(undefined)undefined undefined undefined undefined-undefined