BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

2443 related articles for article (PubMed ID: 28730602)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

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

  • 6. 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]  

  • 7. 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]  

  • 8. Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
    Wang Y; Zhou Y; Shen W; Park S; Fishman EK; Yuille AL
    Med Image Anal; 2019 Jul; 55():88-102. PubMed ID: 31035060
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 44(12):6341-6352. PubMed ID: 28940372
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. A 3D image segmentation for lung cancer using V.Net architecture based deep convolutional networks.
    Mohammed KK; Hassanien AE; Afify HM
    J Med Eng Technol; 2021 Jul; 45(5):337-343. PubMed ID: 33843414
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-eXpert fusion: An ensemble learning framework to segment 3D TRUS prostate images.
    Beitone C; Troccaz J
    Med Phys; 2022 Aug; 49(8):5138-5148. PubMed ID: 35443086
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Interactive lung segmentation in abnormal human and animal chest CT scans.
    Kockelkorn TT; Schaefer-Prokop CM; Bozovic G; Muñoz-Barrutia A; van Rikxoort EM; Brown MS; de Jong PA; Viergever MA; van Ginneken B
    Med Phys; 2014 Aug; 41(8):081915. PubMed ID: 25086546
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 123.