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 *

223 related articles for article (PubMed ID: 29090220)

  • 1. 3D Liver Tumor Segmentation in CT Images Using Improved Fuzzy
    Wu W; Wu S; Zhou Z; Zhang R; Zhang Y
    Biomed Res Int; 2017; 2017():5207685. PubMed ID: 29090220
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images.
    Zhang R; Zhou Z; Wu W; Lin CC; Tsui PH; Wu S
    J Healthc Eng; 2018; 2018():2376317. PubMed ID: 30510670
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automatic 3D liver location and segmentation via convolutional neural network and graph cut.
    Lu F; Wu F; Hu P; Peng Z; Kong D
    Int J Comput Assist Radiol Surg; 2017 Feb; 12(2):171-182. PubMed ID: 27604760
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Efficient liver segmentation in CT images based on graph cuts and bottleneck detection.
    Liao M; Zhao YQ; Wang W; Zeng YZ; Yang Q; Shih FY; Zou BJ
    Phys Med; 2016 Nov; 32(11):1383-1396. PubMed ID: 27771278
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic Liver Segmentation on Volumetric CT Images Using Supervoxel-Based Graph Cuts.
    Wu W; Zhou Z; Wu S; Zhang Y
    Comput Math Methods Med; 2016; 2016():9093721. PubMed ID: 27127536
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 3D liver segmentation using multiple region appearances and graph cuts.
    Peng J; Hu P; Lu F; Peng Z; Kong D; Zhang H
    Med Phys; 2015 Dec; 42(12):6840-52. PubMed ID: 26632041
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Three-dimensional semiautomatic liver segmentation method for non-contrast computed tomography based on a correlation map of locoregional histogram and probabilistic atlas.
    Yamaguchi S; Satake K; Yamaji Y; Chen YW; Tanaka HT
    Comput Biol Med; 2014 Dec; 55():79-85. PubMed ID: 25450222
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Tracking fuzzy borders using geodesic curves with application to liver segmentation on planning CT.
    Yuan Y; Chao M; Sheu RD; Rosenzweig K; Lo YC
    Med Phys; 2015 Jul; 42(7):4015-26. PubMed ID: 26133602
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Semiautomatic segmentation of liver metastases on volumetric CT images.
    Yan J; Schwartz LH; Zhao B
    Med Phys; 2015 Nov; 42(11):6283-93. PubMed ID: 26520721
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fully automatic liver segmentation in CT images using modified graph cuts and feature detection.
    Huang Q; Ding H; Wang X; Wang G
    Comput Biol Med; 2018 Apr; 95():198-208. PubMed ID: 29524804
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A variational approach to liver segmentation using statistics from multiple sources.
    Zheng S; Fang B; Li L; Gao M; Wang Y
    Phys Med Biol; 2018 Jan; 63(2):025024. PubMed ID: 29265012
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 3D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images.
    Salman Al-Shaikhli SD; Yang MY; Rosenhahn B
    Biomed Tech (Berl); 2016 Aug; 61(4):401-12. PubMed ID: 26501155
    [TBL] [Abstract][Full Text] [Related]  

  • 13. PA-ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images.
    Xu Y; Cai M; Lin L; Zhang Y; Hu H; Peng Z; Zhang Q; Chen Q; Mao X; Iwamoto Y; Han XH; Chen YW; Tong R
    Med Phys; 2021 Jul; 48(7):3752-3766. PubMed ID: 33950526
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution.
    Hu P; Wu F; Peng J; Liang P; Kong D
    Phys Med Biol; 2016 Dec; 61(24):8676-8698. PubMed ID: 27880735
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Unified Level Set Framework Combining Hybrid Algorithms for Liver and Liver Tumor Segmentation in CT Images.
    Zheng Z; Zhang X; Xu H; Liang W; Zheng S; Shi Y
    Biomed Res Int; 2018; 2018():3815346. PubMed ID: 30159326
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fast automatic 3D liver segmentation based on a three-level AdaBoost-guided active shape model.
    He B; Huang C; Sharp G; Zhou S; Hu Q; Fang C; Fan Y; Jia F
    Med Phys; 2016 May; 43(5):2421. PubMed ID: 27147353
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Registration-Based Organ Positioning and Joint Segmentation Method for Liver and Tumor Segmentation.
    Jiang H; Li S; Li S
    Biomed Res Int; 2018; 2018():8536854. PubMed ID: 30345308
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images.
    Liu T; Liu J; Ma Y; He J; Han J; Ding X; Chen CT
    Med Phys; 2021 Jan; 48(1):264-272. PubMed ID: 33159809
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A 3-D liver segmentation method with parallel computing for selective internal radiation therapy.
    Goryawala M; Guillen MR; Cabrerizo M; Barreto A; Gulec S; Barot TC; Suthar RR; Bhatt RN; Mcgoron A; Adjouadi M
    IEEE Trans Inf Technol Biomed; 2012 Jan; 16(1):62-9. PubMed ID: 21990338
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.