Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review

被引：0
作者：
Sadam Hussain
Yareth Lafarga-Osuna
Mansoor Ali
Usman Naseem
Masroor Ahmed
Jose Gerardo Tamez-Peña
机构：
[1] Tecnológico de Monterrey,School of Engineering and Sciences
[2] James Cook University,College of Science and Engineering
[3] Tecnológico de Monterrey,School of Medicine and Health Sciences
来源：
BMC Bioinformatics | / 24卷
关键词：
Deep learning; Radiomics; Radiogenomics; Digital breast tomosynthesis; Breast cancer; Lesion detection; Lesion classification; Medical imaging;
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
  • [41] Accuracy of Digital Breast Tomosynthesis for Detecting Breast Cancer in the Diagnostic Setting: A Systematic Review and Meta
    Ko, Min Jung
    Park, Dong A.
    Kim, Sung Hyun
    Ko, Eun Sook
    Shin, Kyung Hwan
    Lim, Woosung
    Kwak, Beom Seok
    Chang, Jung Min
    KOREAN JOURNAL OF RADIOLOGY, 2021, 22 (08) : 1240 - 1252
  • [42] Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets
    Samala, Ravi K.
    Chan, Heang-Ping
    Hadjiiski, Lubomir
    Helvie, Mark A.
    Richter, Caleb D.
    Cha, Kenny H.
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2019, 38 (03) : 686 - 696
  • [43] Diagnosing breast cancer subtypes using MRI radiomics and machine learning: A systematic review
    Wang, Zhenyue
    Wei, Shulin
    JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES, 2025, 18 (01)
  • [44] Radiomics nomogram based on digital breast tomosynthesis: preoperative evaluation of axillary lymph node metastasis in breast carcinoma
    Xu, Maolin
    Yang, Huimin
    Yang, Qi
    Teng, Peihong
    Hao, Haifeng
    Liu, Chang
    Yu, Shaonan
    Liu, Guifeng
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (11) : 9317 - 9328
  • [45] Radiomics nomogram based on digital breast tomosynthesis: preoperative evaluation of axillary lymph node metastasis in breast carcinoma
    Maolin Xu
    Huimin Yang
    Qi Yang
    Peihong Teng
    Haifeng Hao
    Chang Liu
    Shaonan Yu
    Guifeng Liu
    Journal of Cancer Research and Clinical Oncology, 2023, 149 : 9317 - 9328
  • [46] 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
  • [47] Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis
    Samala, Ravi K.
    Chan, Heang-Ping
    Hadjiiski, Lubomir M.
    Helvie, Mark A.
    Richter, Caleb
    Cha, Kenny
    PHYSICS IN MEDICINE AND BIOLOGY, 2018, 63 (09)
  • [48] Digital Breast Tomosynthesis Reconstruction Techniques in Healthcare Systems: A Review
    Samiry, Imane
    Lbachir, Ilhame Ait
    Daoudi, Imane
    Tallal, Saida
    Adil, Sayouti
    BIOINFORMATICS AND BIOMEDICAL ENGINEERING, IWBBIO 2023, PT II, 2023, 13920 : 245 - 255
  • [49] Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
    Teuwen, Jonas
    Moriakov, Nikita
    Fedon, Christian
    Caballo, Marco
    Reiser, Ingrid
    Bakic, Pedrag
    Garcia, Eloy
    Diaz, Oliver
    Michielsen, Koen
    Sechopoulos, Ioannis
    MEDICAL IMAGE ANALYSIS, 2021, 71 (71)
  • [50] A systematic review on deep learning architectures and applications
    Khamparia, Aditya
    Singh, Karan Mehtab
    EXPERT SYSTEMS, 2019, 36 (03)
12345