BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

946 related articles for article (PubMed ID: 29573583)

  • 1. 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]  

  • 2. 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]  

  • 3. Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.
    Zhou X; Takayama R; Wang S; Hara T; Fujita H
    Med Phys; 2017 Oct; 44(10):5221-5233. PubMed ID: 28730602
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
    Guo X; Schwartz LH; Zhao B
    Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level.
    Chen Y; Fan S; Chen Y; Che C; Cao X; He X; Song X; Zhao F
    Med Phys; 2021 Jul; 48(7):3804-3814. PubMed ID: 33969487
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches.
    Zhou X
    Adv Exp Med Biol; 2020; 1213():135-147. PubMed ID: 32030668
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Learning normalized inputs for iterative estimation in medical image segmentation.
    Drozdzal M; Chartrand G; Vorontsov E; Shakeri M; Di Jorio L; Tang A; Romero A; Bengio Y; Pal C; Kadoury S
    Med Image Anal; 2018 Feb; 44():1-13. PubMed ID: 29169029
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks.
    Ouhmich F; Agnus V; Noblet V; Heitz F; Pessaux P
    Int J Comput Assist Radiol Surg; 2019 Aug; 14(8):1275-1284. PubMed ID: 31041697
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic localization of solid organs on 3D CT images by a collaborative majority voting decision based on ensemble learning.
    Zhou X; Wang S; Chen H; Hara T; Yokoyama R; Kanematsu M; Fujita H
    Comput Med Imaging Graph; 2012 Jun; 36(4):304-13. PubMed ID: 22421130
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Segmentation of liver tumors with abdominal computed tomography using fully convolutional networks.
    Chen CI; Lu NH; Huang YH; Liu KY; Hsu SY; Matsushima A; Wang YM; Chen TB
    J Xray Sci Technol; 2022; 30(5):953-966. PubMed ID: 35754254
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.
    Fashandi H; Kuling G; Lu Y; Wu H; Martel AL
    Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Abdominal artery segmentation method from CT volumes using fully convolutional neural network.
    Oda M; Roth HR; Kitasaka T; Misawa K; Fujiwara M; Mori K
    Int J Comput Assist Radiol Surg; 2019 Dec; 14(12):2069-2081. PubMed ID: 31493112
    [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. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
    Ibragimov B; Xing L
    Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Holistic decomposition convolution for effective semantic segmentation of medical volume images.
    Zeng G; Zheng G
    Med Image Anal; 2019 Oct; 57():149-164. PubMed ID: 31302511
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep convolutional neural network for segmentation of thoracic organs-at-risk using cropped 3D images.
    Feng X; Qing K; Tustison NJ; Meyer CH; Chen Q
    Med Phys; 2019 May; 46(5):2169-2180. PubMed ID: 30830685
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation.
    Dong X; Xu S; Liu Y; Wang A; Saripan MI; Li L; Zhang X; Lu L
    Cancer Imaging; 2020 Aug; 20(1):53. PubMed ID: 32738913
    [TBL] [Abstract][Full Text] [Related]  

  • 20. RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning.
    Liu J; Wang C; Guo J; Shao J; Xu X; Liu X; Li H; Li W; Yi Z
    Int J Comput Assist Radiol Surg; 2021 Jun; 16(6):895-904. PubMed ID: 33846890
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 48.