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 *

87 related articles for article (PubMed ID: 29990179)

  • 1. Computer-Aided Medical Image Annotation: Preliminary Results With Liver Lesions in CT.
    Marvasti NB; Yoruk E; Acar B
    IEEE J Biomed Health Inform; 2018 Sep; 22(5):1561-1570. PubMed ID: 29990179
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A fully automatic end-to-end method for content-based image retrieval of CT scans with similar liver lesion annotations.
    Spanier AB; Caplan N; Sosna J; Acar B; Joskowicz L
    Int J Comput Assist Radiol Surg; 2018 Jan; 13(1):165-174. PubMed ID: 29147954
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Adapting content-based image retrieval techniques for the semantic annotation of medical images.
    Kumar A; Dyer S; Kim J; Li C; Leong PH; Fulham M; Feng D
    Comput Med Imaging Graph; 2016 Apr; 49():37-45. PubMed ID: 26890880
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Generate Structured Radiology Report from CT Images Using Image Annotation Techniques: Preliminary Results with Liver CT.
    Loveymi S; Dezfoulian MH; Mansoorizadeh M
    J Digit Imaging; 2020 Apr; 33(2):375-390. PubMed ID: 31728804
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic Liver Segmentation from CT Images Using Single-Block Linear Detection.
    Huang L; Weng M; Shuai H; Huang Y; Sun J; Gao F
    Biomed Res Int; 2016; 2016():9420148. PubMed ID: 27631012
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Blood vessel-based liver segmentation using the portal phase of an abdominal CT dataset.
    Maklad AS; Matsuhiro M; Suzuki H; Kawata Y; Niki N; Satake M; Moriyama N; Utsunomiya T; Shimada M
    Med Phys; 2013 Nov; 40(11):113501. PubMed ID: 24320472
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A retrieval-based computer-aided diagnosis system for the characterization of liver lesions in CT scans.
    Dankerl P; Cavallaro A; Tsymbal A; Costa MJ; Suehling M; Janka R; Uder M; Hammon M
    Acad Radiol; 2013 Dec; 20(12):1526-34. PubMed ID: 24200479
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images.
    Wang J; Cheng Y; Guo C; Wang Y; Tamura S
    Int J Comput Assist Radiol Surg; 2016 May; 11(5):817-26. PubMed ID: 26646416
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting visual semantic descriptive terms from radiological image data: preliminary results with liver lesions in CT.
    Depeursinge A; Kurtz C; Beaulieu C; Napel S; Rubin D
    IEEE Trans Med Imaging; 2014 Aug; 33(8):1669-76. PubMed ID: 24808406
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions.
    Banerjee I; Beaulieu CF; Rubin DL
    J Digit Imaging; 2017 Aug; 30(4):506-518. PubMed ID: 28639186
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?
    Zhang X; Gao X; Liu BJ; Ma K; Yan W; Liling L; Yuhong H; Fujita H
    Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():227-36. PubMed ID: 26455963
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Response Evaluation of Malignant Liver Lesions After TACE/SIRT: Comparison of Manual and Semi-Automatic Measurement of Different Response Criteria in Multislice CT.
    Höink AJ; Schülke C; Koch R; Löhnert A; Kammerer S; Fortkamp R; Heindel W; Buerke B
    Rofo; 2017 Nov; 189(11):1067-1075. PubMed ID: 28834965
    [No Abstract]   [Full Text] [Related]  

  • 15. Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies.
    Vivanti R; Joskowicz L; Lev-Cohain N; Ephrat A; Sosna J
    Med Biol Eng Comput; 2018 Sep; 56(9):1699-1713. PubMed ID: 29524116
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study.
    Yasaka K; Akai H; Abe O; Kiryu S
    Radiology; 2018 Mar; 286(3):887-896. PubMed ID: 29059036
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Noise Texture Deviation: A Measure for Quantifying Artifacts in Computed Tomography Images With Iterative Reconstructions.
    Morsbach F; Desbiolles L; Raupach R; Leschka S; Schmidt B; Alkadhi H
    Invest Radiol; 2017 Feb; 52(2):87-94. PubMed ID: 27548343
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Preliminary data using computed tomography texture analysis for the classification of hypervascular liver lesions: generation of a predictive model on the basis of quantitative spatial frequency measurements--a work in progress.
    Raman SP; Schroeder JL; Huang P; Chen Y; Coquia SF; Kawamoto S; Fishman EK
    J Comput Assist Tomogr; 2015; 39(3):383-95. PubMed ID: 25700222
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Consistent Semantic Annotation of Outdoor Datasets via 2D/3D Label Transfer.
    Tylecek R; Fisher RB
    Sensors (Basel); 2018 Jul; 18(7):. PubMed ID: 30002334
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 5.