BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 25993699)

  • 1. A Segmentation Algorithm for Quantitative Analysis of Heterogeneous Tumors of the Cervix With ¹⁸F-FDG PET/CT.
    Mu W; Chen Z; Shen W; Yang F; Liang Y; Dai R; Wu N; Tian J
    IEEE Trans Biomed Eng; 2015 Oct; 62(10):2465-79. PubMed ID: 25993699
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Novel Framework for Automated Segmentation and Labeling of Homogeneous Versus Heterogeneous Lung Tumors in [
    Soufi M; Kamali-Asl A; Geramifar P; Rahmim A
    Mol Imaging Biol; 2017 Jun; 19(3):456-468. PubMed ID: 27770402
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.
    Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG
    J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.
    Belhassen S; Zaidi H
    Med Phys; 2010 Mar; 37(3):1309-24. PubMed ID: 20384268
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Staging of cervical cancer based on tumor heterogeneity characterized by texture features on (18)F-FDG PET images.
    Mu W; Chen Z; Liang Y; Shen W; Yang F; Dai R; Wu N; Tian J
    Phys Med Biol; 2015 Jul; 60(13):5123-39. PubMed ID: 26083460
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Background based Gaussian mixture model lesion segmentation in PET.
    Soffientini CD; De Bernardi E; Zito F; Castellani M; Baselli G
    Med Phys; 2016 May; 43(5):2662. PubMed ID: 27147375
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Feasibility and performance of an adaptive contrast-oriented FDG PET/CT quantification technique for global disease assessment of malignant pleural mesothelioma and a brief review of the literature.
    Marin-Oyaga VA; Salavati A; Houshmand S; Pasha AK; Gharavi M; Saboury B; Basu S; Torigian DA; Alavi A
    Hell J Nucl Med; 2015; 18(1):11-8. PubMed ID: 25679073
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions.
    Giri MG; Cavedon C; Mazzarotto R; Ferdeghini M
    Med Phys; 2016 May; 43(5):2491. PubMed ID: 27147360
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Volume-metabolic Combined Parameters from (18)F-FDG PET/CT May Help Predict the Outcomes of Cervical Carcinoma.
    Sun Y; Lu P; Yu L
    Acad Radiol; 2016 May; 23(5):605-10. PubMed ID: 26853968
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Investigation of realistic PET simulations incorporating tumor patient's specificity using anthropomorphic models: creation of an oncology database.
    Papadimitroulas P; Loudos G; Le Maitre A; Hatt M; Tixier F; Efthimiou N; Nikiforidis GC; Visvikis D; Kagadis GC
    Med Phys; 2013 Nov; 40(11):112506. PubMed ID: 24320465
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Combined fuzzy logic and random walker algorithm for PET image tumor delineation.
    Soufi M; Kamali-Asl A; Geramifar P; Abdoli M; Rahmim A
    Nucl Med Commun; 2016 Feb; 37(2):171-81. PubMed ID: 26517069
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Concurrent multimodality image segmentation by active contours for radiotherapy treatment planning.
    El Naqa I; Yang D; Apte A; Khullar D; Mutic S; Zheng J; Bradley JD; Grigsby P; Deasy JO
    Med Phys; 2007 Dec; 34(12):4738-49. PubMed ID: 18196801
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The use of zeolites to generate PET phantoms for the validation of quantification strategies in oncology.
    Zito F; De Bernardi E; Soffientini C; Canzi C; Casati R; Gerundini P; Baselli G
    Med Phys; 2012 Sep; 39(9):5353-61. PubMed ID: 22957603
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images.
    Caballo M; Boone JM; Mann R; Sechopoulos I
    Med Phys; 2018 Jun; 45(6):2542-2559. PubMed ID: 29676025
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Generic and robust method for automatic segmentation of PET images using an active contour model.
    Zhuang M; Dierckx RA; Zaidi H
    Med Phys; 2016 Aug; 43(8):4483. PubMed ID: 27487865
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Rapid Contour-based Segmentation for
    Besson FL; Henry T; Meyer C; Chevance V; Roblot V; Blanchet E; Arnould V; Grimon G; Chekroun M; Mabille L; Parent F; Seferian A; Bulifon S; Montani D; Humbert M; Chaumet-Riffaud P; Lebon V; Durand E
    Radiology; 2018 Jul; 288(1):277-284. PubMed ID: 29613842
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of parametrial infiltration in cervical cancer with voxel-based segmentation of integrated
    Wang T; Sun H; Han F; Sun W; Chen Z
    Eur J Radiol; 2019 Sep; 118():147-152. PubMed ID: 31439234
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Quantitative Analysis of Heterogeneous [
    Zhuang M; Karakatsanis NA; Dierckx RAJO; Zaidi H
    Mol Imaging Biol; 2019 Apr; 21(2):317-327. PubMed ID: 29956119
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic lung tumor segmentation on PET/CT images using fuzzy Markov random field model.
    Guo Y; Feng Y; Sun J; Zhang N; Lin W; Sa Y; Wang P
    Comput Math Methods Med; 2014; 2014():401201. PubMed ID: 24987451
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Standardized uptake value and metabolic tumor volume measured by ¹⁸F FDG PET/CT are sensitive biomarkers for the presence of lymph node metastasis in patients with cervical carcinoma.
    Vural GU; Akkas BE; Demirel BB
    Rev Esp Med Nucl Imagen Mol; 2014; 33(5):268-73. PubMed ID: 25018135
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.