A deep-learning-enabled diagnosis of ovarian cancer

被引:0
|
作者
Van Calster, Ben [1 ,2 ,4 ]
Timmerman, Stefan [1 ,5 ]
Geysels, Axel [3 ]
Verbakel, Jan Y [2 ,6 ]
Froyman, Wouter [1 ,5 ]
机构
[1] Department of Development and Regeneration, KU Leuven, Leuven, Belgium
[2] EPI-Centre, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
[3] Department of Electrical Engineering, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium
[4] Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, Netherlands
[5] Department of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven,3000, Belgium
[6] Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
来源
The Lancet Digital Health | 2022年 / 4卷 / 09期
关键词
5;
D O I
10.1016/S2589-7500(22)00130-3
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Deep-learning-enabled high-performance full-field direct detection with dispersion diversity
    Li, Xingfeng
    An, Shaohua
    Ji, Honglin
    Li, Jingchi
    Shieh, William
    Su, Yikai
    OPTICS EXPRESS, 2022, 30 (07): : 11767 - 11788
  • [42] A deep learning enabled digital pathology platform for characterization of cancer-associated thrombosis of ovarian cancer
    Ahn, Ju Young
    Carlos-Alcalde, Wendolyn
    Vasquez, Matthew
    Cho, Min Soon
    Afshar-Kharghan, Vahid
    Wong, Stephen T.
    CANCER RESEARCH, 2023, 83 (07)
  • [43] Quantitative Reconstruction of Dielectric Properties Based on Deep-Learning-Enabled Microwave-Induced Thermoacoustic Tomography
    Luo, Zhaoxu
    Li, Chenzhe
    Liu, Dantong
    Wang, Baosheng
    Zhang, Lejia
    Ma, Yuexin
    Xu, Kuiwen
    Wang, Xiong
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2023, 71 (06) : 2652 - 2663
  • [44] Deep-Learning-Enabled Direct Detection With Reduced Computational Complexity and High Electrical-Spectral-Efficiency
    Li, Xingfeng
    Li, Jingchi
    An, Shaohua
    Liu, Hudi
    Shieh, William
    Su, Yikai
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2023, 41 (17) : 5495 - 5502
  • [45] Breast Cancer Diagnosis Based on IoT and Deep Transfer Learning Enabled by Fog Computing
    Pati, Abhilash
    Parhi, Manoranjan
    Pattanayak, Binod Kumar
    Singh, Debabrata
    Singh, Vijendra
    Kadry, Seifedine
    Nam, Yunyoung
    Kang, Byeong-Gwon
    DIAGNOSTICS, 2023, 13 (13)
  • [46] Deep learning in ovarian cancer diagnosis: a comprehensive review of various imaging modalities
    Sadeghi, Mohammad Hossein
    Sina, Sedigheh
    Omidi, Hamid
    Farshchitabrizi, Amir Hossein
    Alavi, Mehrosadat
    POLISH JOURNAL OF RADIOLOGY, 2024, 89 : e30 - e48
  • [47] Multi-Modal Evolutionary Deep Learning Model for Ovarian Cancer Diagnosis
    Ghoniem, Rania M.
    Algarni, Abeer D.
    Refky, Basel
    Ewees, Ahmed A.
    SYMMETRY-BASEL, 2021, 13 (04):
  • [48] New Trends in Ovarian Cancer Diagnosis Using Deep Learning: A Systematic Review
    El-Khatib, Mohamed
    Popescu, Dan
    Teodor, Oana Mihaela
    Ichim, Loretta
    IEEE ACCESS, 2024, 12 : 116587 - 116608
  • [49] Deep Learning-Enabled Diagnosis of Liver Adenocarcinoma
    Albrecht, Thomas
    Rossberg, Annik
    Albrecht, Jana Dorothea
    Nicolay, Jan Peter
    Straub, Beate Katharina
    Gerber, Tiemo Sven
    Albrecht, Michael
    Brinkmann, Fritz
    Charbel, Alphonse
    Schwab, Constantin
    Schreck, Johannes
    Brobeil, Alexander
    Flechtenmacher, Christa
    von Winterfeld, Moritz
    Koehler, Bruno Christian
    Springfeld, Christoph
    Mehrabi, Arianeb
    Singer, Stephan
    Vogel, Monika Nadja
    Neumann, Olaf
    Stenzinger, Albrecht
    Schirmacher, Peter
    Weis, Cleo-Aron
    Roessler, Stephanie
    Kather, Jakob Nikolas
    Goeppert, Benjamin
    GASTROENTEROLOGY, 2023, 165 (05) : 1262 - 1275
  • [50] A Deep-Learning-Enabled Remote Teaching Platform for Pancreas SBRT Treatment Planning: A Pilot Study in Pandemic Era
    Xie, Y.
    Wang, W.
    Chang, Y.
    Li, X.
    Lu, K.
    Li, R.
    Stephens, H.
    Yin, F.
    Wu, Q.
    Ge, Y.
    Wu, Q.
    Sheng, Y.
    MEDICAL PHYSICS, 2021, 48 (06)