Breast cancer risk prediction combining a convolutional neural network-based mammographic evaluation with clinical factors

被引：0
|
作者：
Alissa Michel
Vicky Ro
Julia E. McGuinness
Simukayi Mutasa
Mary Beth Terry
Parisa Tehranifar
Benjamin May
Richard Ha
Katherine D. Crew
机构：
[1] Columbia University,Department of Medicine, Vagelos College of Physicians and Surgeons
[2] Columbia University Irving Medical Center,Herbert Irving Comprehensive Cancer Center
[3] Columbia University,Department of Radiology, Vagelos College of Physicians and Surgeons
[4] Columbia University,Department of Epidemiology, Mailman School of Public Health
[5] Hematology-Oncology,undefined
来源：
Breast Cancer Research and Treatment | 2023年 / 200卷
关键词：
Breast cancer; Artificial intelligence; Deep learning; Racial disparities; Risk prediction; Convolutional neural network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：237 / 245
页数：8
相关论文
共 50 条
  • [41] Preliminary Clinical Study of the Differences Between Interobserver Evaluation and Deep Convolutional Neural Network-Based Segmentation of Multiple Organs at Risk in CT Images of Lung Cancer
    Zhu, Jinhan
    Liu, Yimei
    Zhang, Jun
    Wang, Yixuan
    Chen, Lixin
    FRONTIERS IN ONCOLOGY, 2019, 9
  • [42] Breast Cancer Risk Prediction in Chinese Women Based on Mammographic Texture and a Comprehensive Set of Epidemiologic Factors
    Gandomkar, Ziba
    Li, Tong
    Shao, Zhimin
    Tang, Lichen
    Xiao, Qin
    Gu, Yajia
    Di, Genhong
    Lewis, Sarah
    Mello-Thoms, Claudia
    Brennan, Patrick
    15TH INTERNATIONAL WORKSHOP ON BREAST IMAGING (IWBI2020), 2020, 11513
  • [43] Neural network-based segmentation of dynamic MR mammographic images
    Lucht, R
    Delorme, S
    Brix, G
    MAGNETIC RESONANCE IMAGING, 2002, 20 (02) : 147 - 154
  • [44] Convolutional neural network-based safety evaluation method for structures with dynamic responses
    Park, Hyo Seon
    An, Jung Hwan
    Park, Young Jun
    Oh, Byung Kwan
    EXPERT SYSTEMS WITH APPLICATIONS, 2020, 158
  • [45] Convolutional neural network-based dosimetry evaluation of esophageal radiation treatment planning
    Jiang, Dashan
    Yan, Hui
    Chang, Na
    Li, Teng
    Mao, Ronghu
    Du, Chi
    Guo, Bin
    Liu, Jianfei
    MEDICAL PHYSICS, 2020, 47 (10) : 4735 - 4742
  • [46] Convolutional Neural Network-Based Multiscale Feature Selection and Evaluation in Image Segmentation
    Cao, Di
    Cao, Jian-Nong
    Deng, Liang
    Lou, Li-Ping
    IEEE ACCESS, 2024, 12 : 68003 - 68014
  • [47] A convolutional neural network-based approach to composite power system reliability evaluation
    Kamruzzaman, Md.
    Bhusal, Narayan
    Benidris, Mohammed
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 135
  • [48] Deep Convolutional Neural Network-Based Lymph Node Metastasis Prediction for Colon Cancer Using Histopathological Images
    Kwak, Min Seob
    Lee, Hun Hee
    Yang, Jae Min
    Cha, Jae Myung
    Jeon, Jung Won
    Yoon, Jin Young
    Kim, Ha Il
    FRONTIERS IN ONCOLOGY, 2021, 10
  • [49] A CONVOLUTIONAL NEURAL NETWORK-BASED MODEL OF NEURAL PATHWAYS IN THE RETINA
    Zamani, Yasin
    Nategh, Neda
    2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 6906 - 6909
  • [50] Dose-volume-based evaluation of convolutional neural network-based auto-segmentation of thoracic organs at risk
    Johnston, Noemie
    De Rycke, Jeffrey
    Lievens, Yolande
    van Eijkeren, Marc
    Aelterman, Jan
    Vandersmissen, Eva
    Ponte, Stephan
    Vanderstraeten, Barbara
    PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2022, 23 : 109 - 117
12345