BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

195 related articles for article (PubMed ID: 32226030)

  • 1. PET segmentation of bulky tumors: Strategies and workflows to improve inter-observer variability.
    Pfaehler E; Burggraaff C; Kramer G; Zijlstra J; Hoekstra OS; Jalving M; Noordzij W; Brouwers AH; Stevenson MG; de Jong J; Boellaard R
    PLoS One; 2020; 15(3):e0230901. PubMed ID: 32226030
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of a Semi-automatic Right Ventricle Segmentation Method on Short-Axis MR Images.
    Yilmaz P; Wallecan K; Kristanto W; Aben JP; Moelker A
    J Digit Imaging; 2018 Oct; 31(5):670-679. PubMed ID: 29524154
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections.
    Chlebus G; Meine H; Thoduka S; Abolmaali N; van Ginneken B; Hahn HK; Schenk A
    PLoS One; 2019; 14(5):e0217228. PubMed ID: 31107915
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Clinically feasible semi-automatic workflows for measuring metabolically active tumour volume in metastatic melanoma.
    van Sluis J; de Heer EC; Boellaard M; Jalving M; Brouwers AH; Boellaard R
    Eur J Nucl Med Mol Imaging; 2021 May; 48(5):1498-1510. PubMed ID: 33099667
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic segmentation variability estimation with segmentation priors.
    Joskowicz L; Cohen D; Caplan N; Sosna J
    Med Image Anal; 2018 Dec; 50():54-64. PubMed ID: 30208356
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Intra-reader reliability of FDG PET volumetric tumor parameters: effects of primary tumor size and segmentation methods.
    Shah B; Srivastava N; Hirsch AE; Mercier G; Subramaniam RM
    Ann Nucl Med; 2012 Nov; 26(9):707-14. PubMed ID: 22797818
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.
    Tang X; Jafargholi Rangraz E; Coudyzer W; Bertels J; Robben D; Schramm G; Deckers W; Maleux G; Baete K; Verslype C; Gooding MJ; Deroose CM; Nuyts J
    Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2742-2752. PubMed ID: 32314026
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography.
    Bi L; Kim J; Wen L; Kumar A; Fulham M; Feng DD
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():5453-6. PubMed ID: 24110970
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validation.
    Carles M; Fechter T; Nemer U; Nanko N; Mix M; Nestle U; Schaefer A
    Phys Med Biol; 2015 Dec; 60(24):9227-51. PubMed ID: 26576926
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Inter-observer and segmentation method variability of textural analysis in pre-therapeutic FDG PET/CT in head and neck cancer.
    Guezennec C; Bourhis D; Orlhac F; Robin P; Corre JB; Delcroix O; Gobel Y; Schick U; Salaün PY; Abgral R
    PLoS One; 2019; 14(3):e0214299. PubMed ID: 30921388
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Spatially varying accuracy and reproducibility of prostate segmentation in magnetic resonance images using manual and semiautomated methods.
    Shahedi M; Cool DW; Romagnoli C; Bauman GS; Bastian-Jordan M; Gibson E; Rodrigues G; Ahmad B; Lock M; Fenster A; Ward AD
    Med Phys; 2014 Nov; 41(11):113503. PubMed ID: 25370674
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic delineation of tumor volumes by co-segmentation of combined PET/MR data.
    Leibfarth S; Eckert F; Welz S; Siegel C; Schmidt H; Schwenzer N; Zips D; Thorwarth D
    Phys Med Biol; 2015 Jul; 60(14):5399-412. PubMed ID: 26111013
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A smart and operator independent system to delineate tumours in Positron Emission Tomography scans.
    Comelli A; Stefano A; Russo G; Sabini MG; Ippolito M; Bignardi S; Petrucci G; Yezzi A
    Comput Biol Med; 2018 Nov; 102():1-15. PubMed ID: 30219733
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation.
    Schaefer A; Vermandel M; Baillet C; Dewalle-Vignion AS; Modzelewski R; Vera P; Massoptier L; Parcq C; Gibon D; Fechter T; Nemer U; Gardin I; Nestle U
    Eur J Nucl Med Mol Imaging; 2016 May; 43(5):911-924. PubMed ID: 26567163
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Tumour delineation in oesophageal cancer - A prospective study of delineation in PET and CT with and without endoscopically placed clip markers.
    Thomas L; Lapa C; Bundschuh RA; Polat B; Sonke JJ; Guckenberger M
    Radiother Oncol; 2015 Aug; 116(2):269-75. PubMed ID: 26364886
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic volume delineation in oncological PET. Evaluation of a dedicated software tool and comparison with manual delineation in clinical data sets.
    Hofheinz F; Pötzsch C; Oehme L; Beuthien-Baumann B; Steinbach J; Kotzerke J; van den Hoff J
    Nuklearmedizin; 2012; 51(1):9-16. PubMed ID: 22027997
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On the Reliability of Automatic Volume Delineation in Low-Contrast [(18)F]FMISO-PET Imaging.
    Haase R; Andreeff M; Abolmaali N
    Recent Results Cancer Res; 2016; 198():175-87. PubMed ID: 27318687
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Inter-observer variability of manual contour delineation of structures in CT.
    Joskowicz L; Cohen D; Caplan N; Sosna J
    Eur Radiol; 2019 Mar; 29(3):1391-1399. PubMed ID: 30194472
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.