Predicting Breast Cancer Hormone Receptor Status with PET/MR Images Using Dual-Input Deep Convolutional Neural Network (DCNN)

被引:0
|
作者
Choi, S. [1 ]
Cho, H. [2 ]
Lee, C. [2 ]
Kong, E. [3 ]
机构
[1] Elect & Telecommun Res Inst, Daejeon, South Korea
[2] Korea Res Inst Stand & Sci, Daejeon, South Korea
[3] Yeungnam Univ Med Sch & Hosp, Gwangju, South Korea
关键词
D O I
暂无
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
WE-IePD-TR
引用
收藏
页数:1
相关论文
共 50 条
  • [21] Classification of Tumor in Brain MR Images Using Deep Convolutional Neural Network and Global Average Pooling
    Malla, Prince Priya
    Sahu, Sudhakar
    Alutaibi, Ahmed I.
    PROCESSES, 2023, 11 (03)
  • [22] A Lightweight Deep Convolutional Neural Network Implemented on FPGA and Android Devices for Detection of Breast Cancer Using Ultrasound Images
    Vinod, Aditya
    Guddati, Prabhav
    Panda, Amit Kumar
    Tripathy, Rajesh Kumar
    IEEE ACCESS, 2024, 12 : 179190 - 179203
  • [23] Krill herd optimization algorithm with deep convolutional neural network fostered breast cancer classification using mammogram images
    Kumar, P. Pratheep
    Bai, V. Mary Amala
    Krish, Ram P.
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2023, 35 (07):
  • [24] Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network
    Kwolek, Bogdan
    Koziarski, Michal
    Bukala, Andrzej
    Antosz, Zbigniew
    Olborski, Boguslaw
    Wasowicz, Pawel
    Swadzba, Jakub
    Cyganek, Boguslaw
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: WORKSHOP AND SPECIAL SESSIONS, 2019, 11731 : 299 - 312
  • [25] Classification of histopathological images of breast cancer using an improved convolutional neural network model
    Yang, Yunfeng
    Guan, Chen
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2022, 30 (01) : 33 - 44
  • [26] Dual-Input Neural Network Integrating Feature Extraction and Deep Learning for Coronary Artery Disease Detection Using Electrocardiogram and Phonocardiogram
    Li, Han
    Wang, Xinpei
    Liu, Changchun
    Wang, Yan
    Li, Peng
    Tang, Hong
    Yao, Lianke
    Zhang, Huan
    IEEE ACCESS, 2019, 7 : 146457 - 146469
  • [27] Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study
    Dong, Hsiang-Chun
    Dong, Hsiang-Kai
    Yu, Mu-Hsien
    Lin, Yi-Hsin
    Chang, Cheng-Chang
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (16) : 1 - 18
  • [28] Using deep learning with convolutional neural network approach to identify the invasion depth of endometrial cancer in myometrium using MR images: A pilot study
    Chang, C. C.
    GYNECOLOGIC ONCOLOGY, 2020, 159 : 240 - 241
  • [29] Predicting esophageal cancer outcome with positron emission tomography using deep convolutional neural network
    Hsu, P.
    Yeh, C.
    ANNALS OF ONCOLOGY, 2019, 30
  • [30] Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network
    Chen, Chaoyue
    Zhang, Ting
    Teng, Yuen
    Yu, Yijie
    Shu, Xin
    Zhang, Lei
    Zhao, Fumin
    Xu, Jianguo
    EUROPEAN RADIOLOGY, 2023, 33 (04) : 2665 - 2675