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Journal Abstract Search

764 related items for PubMed ID: 28526212

  • 1. 3D deeply supervised network for automated segmentation of volumetric medical images.
    Dou Q, Yu L, Chen H, Jin Y, Yang X, Qin J, Heng PA.
    Med Image Anal; 2017 Oct; 41():40-54. PubMed ID: 28526212
    [Abstract] [Full Text] [Related]

  • 2. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
    Wang B, Lei Y, Tian S, Wang T, Liu Y, Patel P, Jani AB, Mao H, Curran WJ, Liu T, Yang X.
    Med Phys; 2019 Apr; 46(4):1707-1718. PubMed ID: 30702759
    [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
    [Abstract] [Full Text] [Related]

  • 4. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
    Chen H, Dou Q, Yu L, Qin J, Heng PA.
    Neuroimage; 2018 Apr 15; 170():446-455. PubMed ID: 28445774
    [Abstract] [Full Text] [Related]

  • 5. 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 15; 46(5):2169-2180. PubMed ID: 30830685
    [Abstract] [Full Text] [Related]

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  • 7. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
    Burton W, Myers C, Rullkoetter P.
    Comput Methods Programs Biomed; 2020 Jun 15; 189():105328. PubMed ID: 31958580
    [Abstract] [Full Text] [Related]

  • 8. BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.
    Guo S, Wang K, Kang H, Zhang Y, Gao Y, Li T.
    Int J Med Inform; 2019 Jun 15; 126():105-113. PubMed ID: 31029251
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  • 10. Esophagus segmentation in CT via 3D fully convolutional neural network and random walk.
    Fechter T, Adebahr S, Baltas D, Ben Ayed I, Desrosiers C, Dolz J.
    Med Phys; 2017 Dec 15; 44(12):6341-6352. PubMed ID: 28940372
    [Abstract] [Full Text] [Related]

  • 11. Deep Learning-Based Automatic Segmentation of the Proximal Femur from MR Images.
    Zeng G, Zheng G.
    Adv Exp Med Biol; 2018 Dec 15; 1093():73-79. PubMed ID: 30306473
    [Abstract] [Full Text] [Related]

  • 12. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
    Ibragimov B, Xing L.
    Med Phys; 2017 Feb 15; 44(2):547-557. PubMed ID: 28205307
    [Abstract] [Full Text] [Related]

  • 13. Multi-level deep supervised networks for retinal vessel segmentation.
    Mo J, Zhang L.
    Int J Comput Assist Radiol Surg; 2017 Dec 15; 12(12):2181-2193. PubMed ID: 28577175
    [Abstract] [Full Text] [Related]

  • 14. Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images.
    Gu L, Cai XC.
    Artif Intell Med; 2021 Nov 15; 121():102189. PubMed ID: 34763804
    [Abstract] [Full Text] [Related]

  • 15. 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 15; 45():94-107. PubMed ID: 29427897
    [Abstract] [Full Text] [Related]

  • 16. Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries.
    Mishra D, Chaudhury S, Sarkar M, Soin AS.
    IEEE Trans Biomed Eng; 2019 Jun 15; 66(6):1637-1648. PubMed ID: 30346279
    [Abstract] [Full Text] [Related]

  • 17. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches.
    Zhou X.
    Adv Exp Med Biol; 2020 Jun 15; 1213():135-147. PubMed ID: 32030668
    [Abstract] [Full Text] [Related]

  • 18. AdaEn-Net: An ensemble of adaptive 2D-3D Fully Convolutional Networks for medical image segmentation.
    Baldeon Calisto M, Lai-Yuen SK.
    Neural Netw; 2020 Jun 15; 126():76-94. PubMed ID: 32203876
    [Abstract] [Full Text] [Related]

  • 19. Attention-enabled 3D boosted convolutional neural networks for semantic CT segmentation using deep supervision.
    Kearney V, Chan JW, Wang T, Perry A, Yom SS, Solberg TD.
    Phys Med Biol; 2019 Jul 02; 64(13):135001. PubMed ID: 31181561
    [Abstract] [Full Text] [Related]

  • 20. Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.
    Qi Dou, Hao Chen, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Mok VC, Lin Shi, Pheng-Ann Heng.
    IEEE Trans Med Imaging; 2016 May 02; 35(5):1182-1195. PubMed ID: 26886975
    [Abstract] [Full Text] [Related]

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