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 *

146 related articles for article (PubMed ID: 29887665)

  • 1. Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.
    Bobo MF; Bao S; Huo Y; Yao Y; Virostko J; Plassard AJ; Lyu I; Assad A; Abramson RG; Hilmes MA; Landman BA
    Proc SPIE Int Soc Opt Eng; 2018 Mar; 10574():. PubMed ID: 29887665
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
    Tong N; Gou S; Yang S; Ruan D; Sheng K
    Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving Splenomegaly Segmentation by Learning from Heterogeneous Multi-Source Labels.
    Tang Y; Huo Y; Xiong Y; Moon H; Assad A; Moyo TK; Savona MR; Abramson R; Landman BA
    Proc SPIE Int Soc Opt Eng; 2019 Feb; 10949():. PubMed ID: 31762532
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.
    Lavdas I; Glocker B; Kamnitsas K; Rueckert D; Mair H; Sandhu A; Taylor SA; Aboagye EO; Rockall AG
    Med Phys; 2017 Oct; 44(10):5210-5220. PubMed ID: 28756622
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Abdomen CT multi-organ segmentation using token-based MLP-Mixer.
    Pan S; Chang CW; Wang T; Wynne J; Hu M; Lei Y; Liu T; Patel P; Roper J; Yang X
    Med Phys; 2023 May; 50(5):3027-3038. PubMed ID: 36463516
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.
    Huo Y; Xu Z; Bao S; Bermudez C; Moon H; Parvathaneni P; Moyo TK; Savona MR; Assad A; Abramson RG; Landman BA
    IEEE Trans Med Imaging; 2019 May; 38(5):1185-1196. PubMed ID: 30442602
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network.
    Kim H; Jung J; Kim J; Cho B; Kwak J; Jang JY; Lee SW; Lee JG; Yoon SM
    Sci Rep; 2020 Apr; 10(1):6204. PubMed ID: 32277135
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine-assisted interpolation algorithm for semi-automated segmentation of highly deformable organs.
    Luximon DC; Abdulkadir Y; Chow PE; Morris ED; Lamb JM
    Med Phys; 2022 Jan; 49(1):41-51. PubMed ID: 34783027
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A method of rapid quantification of patient-specific organ doses for CT using deep-learning-based multi-organ segmentation and GPU-accelerated Monte Carlo dose computing.
    Peng Z; Fang X; Yan P; Shan H; Liu T; Pei X; Wang G; Liu B; Kalra MK; Xu XG
    Med Phys; 2020 Jun; 47(6):2526-2536. PubMed ID: 32155670
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
    Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
    Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
    [TBL] [Abstract][Full Text] [Related]  

  • 11. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
    Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
    Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.
    Hu P; Wu F; Peng J; Bao Y; Chen F; Kong D
    Int J Comput Assist Radiol Surg; 2017 Mar; 12(3):399-411. PubMed ID: 27885540
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
    Roth HR; Lu L; Lay N; Harrison AP; Farag A; Sohn A; Summers RM
    Med Image Anal; 2018 Apr; 45():94-107. PubMed ID: 29427897
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks.
    Chen Y; Ruan D; Xiao J; Wang L; Sun B; Saouaf R; Yang W; Li D; Fan Z
    Med Phys; 2020 Oct; 47(10):4971-4982. PubMed ID: 32748401
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
    Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
    Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An application of cascaded 3D fully convolutional networks for medical image segmentation.
    Roth HR; Oda H; Zhou X; Shimizu N; Yang Y; Hayashi Y; Oda M; Fujiwara M; Misawa K; Mori K
    Comput Med Imaging Graph; 2018 Jun; 66():90-99. PubMed ID: 29573583
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Self-paced DenseNet with boundary constraint for automated multi-organ segmentation on abdominal CT images.
    Tong N; Gou S; Niu T; Yang S; Sheng K
    Phys Med Biol; 2020 Jul; 65(13):135011. PubMed ID: 32657281
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cross-convolutional transformer for automated multi-organs segmentation in a variety of medical images.
    Wang J; Zhao H; Liang W; Wang S; Zhang Y
    Phys Med Biol; 2023 Jan; 68(3):. PubMed ID: 36623323
    [No Abstract]   [Full Text] [Related]  

  • 19. Cardiac substructure segmentation with deep learning for improved cardiac sparing.
    Morris ED; Ghanem AI; Dong M; Pantelic MV; Walker EM; Glide-Hurst CK
    Med Phys; 2020 Feb; 47(2):576-586. PubMed ID: 31794054
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using deep learning to segment breast and fibroglandular tissue in MRI volumes.
    Dalmış MU; Litjens G; Holland K; Setio A; Mann R; Karssemeijer N; Gubern-Mérida A
    Med Phys; 2017 Feb; 44(2):533-546. PubMed ID: 28035663
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.