These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

270 related articles for article (PubMed ID: 32512507)

  • 1. Deep learning-based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study.
    Zhao X; Xie P; Wang M; Li W; Pickhardt PJ; Xia W; Xiong F; Zhang R; Xie Y; Jian J; Bai H; Ni C; Gu J; Yu T; Tang Y; Gao X; Meng X
    EBioMedicine; 2020 Jun; 56():102780. PubMed ID: 32512507
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detection of abdominopelvic lymph nodes in multi-parametric MRI.
    Mathai TS; Shen TC; Elton DC; Lee S; Lu Z; Summers RM
    Comput Med Imaging Graph; 2024 Jun; 114():102363. PubMed ID: 38447381
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Universal detection and segmentation of lymph nodes in multi-parametric MRI.
    Mathai TS; Lee S; Shen TC; Elton D; Lu Z; Summers RM
    Int J Comput Assist Radiol Surg; 2024 Jan; 19(1):163-170. PubMed ID: 37326816
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images.
    Liu X; Sun Z; Han C; Cui Y; Huang J; Wang X; Zhang X; Wang X
    BMC Med Imaging; 2021 Nov; 21(1):170. PubMed ID: 34774001
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer.
    Ding L; Liu G; Zhang X; Liu S; Li S; Zhang Z; Guo Y; Lu Y
    Cancer Med; 2020 Dec; 9(23):8809-8820. PubMed ID: 32997900
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic intraprostatic lesion segmentation in multiparametric magnetic resonance images with proposed multiple branch UNet.
    Chen Y; Xing L; Yu L; Bagshaw HP; Buyyounouski MK; Han B
    Med Phys; 2020 Dec; 47(12):6421-6429. PubMed ID: 33012016
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multicenter Evaluation of a Weakly Supervised Deep Learning Model for Lymph Node Diagnosis in Rectal Cancer at MRI.
    Xia W; Li D; He W; Pickhardt PJ; Jian J; Zhang R; Zhang J; Song R; Tong T; Yang X; Gao X; Cui Y
    Radiol Artif Intell; 2024 Mar; 6(2):e230152. PubMed ID: 38353633
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [High definition MRI rectal lymph node aided diagnostic system based on deep neural network].
    Zhou YP; Li S; Zhang XX; Zhang ZD; Gao YX; Ding L; Lu Y
    Zhonghua Wai Ke Za Zhi; 2019 Feb; 57(2):108-113. PubMed ID: 30704213
    [No Abstract]   [Full Text] [Related]  

  • 9. Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR.
    Trebeschi S; van Griethuysen JJM; Lambregts DMJ; Lahaye MJ; Parmar C; Bakers FCH; Peters NHGM; Beets-Tan RGH; Aerts HJWL
    Sci Rep; 2017 Jul; 7(1):5301. PubMed ID: 28706185
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic segmentation of rectal tumor on diffusion-weighted images by deep learning with U-Net.
    Zhu HT; Zhang XY; Shi YJ; Li XT; Sun YS
    J Appl Clin Med Phys; 2021 Sep; 22(9):324-331. PubMed ID: 34343402
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Diagnostic accuracy of 3.0T high-resolution MRI for assessment mesorectal lymph node metastases in patients with rectal cancer].
    Chen Y; Yang X; Lu B; Xiao X; Zhuang X; Yu S
    Zhonghua Wei Chang Wai Ke Za Zhi; 2018 Jul; 21(7):786-792. PubMed ID: 30051447
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network.
    Rinneburger M; Carolus H; Iuga AI; Weisthoff M; Lennartz S; Hokamp NG; Caldeira L; Shahzad R; Maintz D; Laqua FC; Baeßler B; Klinder T; Persigehl T
    Eur Radiol Exp; 2023 Jul; 7(1):45. PubMed ID: 37505296
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Diagnosis of lymph node metastasis on rectal cancer by PET-CT computer imaging combined with MRI technology.
    Li F; Hu J; Jiang H; Sun Y
    J Infect Public Health; 2020 Sep; 13(9):1347-1353. PubMed ID: 31289005
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.
    Iuga AI; Carolus H; Höink AJ; Brosch T; Klinder T; Maintz D; Persigehl T; Baeßler B; Püsken M
    BMC Med Imaging; 2021 Apr; 21(1):69. PubMed ID: 33849483
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines.
    Liu X; Zhu Z; Wang K; Zhang Y; Li J; Wang X; Zhang X; Wang X
    Cancer Imaging; 2023 Jan; 23(1):7. PubMed ID: 36650584
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Non-invasive MR assessment of the microstructure and microcirculation in regional lymph nodes for rectal cancer: a study of intravoxel incoherent motion imaging.
    Yang X; Chen Y; Wen Z; Liu Y; Xiao X; Liang W; Yu S
    Cancer Imaging; 2019 Nov; 19(1):70. PubMed ID: 31685035
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network.
    Aldoj N; Lukas S; Dewey M; Penzkofer T
    Eur Radiol; 2020 Feb; 30(2):1243-1253. PubMed ID: 31468158
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.
    Zhang L; Mohamed AA; Chai R; Guo Y; Zheng B; Wu S
    J Magn Reson Imaging; 2020 Feb; 51(2):635-643. PubMed ID: 31301201
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network.
    Liu X; Han C; Wang H; Wu J; Cui Y; Zhang X; Wang X
    Insights Imaging; 2021 Jul; 12(1):93. PubMed ID: 34232404
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning-Based Multiparametric MRI Model for Preoperative T-Stage in Rectal Cancer.
    Wei Y; Wang H; Chen Z; Zhu Y; Li Y; Lu B; Pan K; Wen C; Cao G; He Y; Zhou J; Pan Z; Wang M
    J Magn Reson Imaging; 2024 Mar; 59(3):1083-1092. PubMed ID: 37367938
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.