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 *

108 related articles for article (PubMed ID: 26127054)

  • 1. Quantitative evaluation of image segmentation incorporating medical consideration functions.
    Kim H; Monroe JI; Lo S; Yao M; Harari PM; Machtay M; Sohn JW
    Med Phys; 2015 Jun; 42(6):3013-23. PubMed ID: 26127054
    [TBL] [Abstract][Full Text] [Related]  

  • 2. LinSEM: Linearizing segmentation evaluation metrics for medical images.
    Li J; Udupa JK; Tong Y; Wang L; Torigian DA
    Med Image Anal; 2020 Feb; 60():101601. PubMed ID: 31811980
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Auto-segmentation of normal and target structures in head and neck CT images: a feature-driven model-based approach.
    Qazi AA; Pekar V; Kim J; Xie J; Breen SL; Jaffray DA
    Med Phys; 2011 Nov; 38(11):6160-70. PubMed ID: 22047381
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The predictive value of segmentation metrics on dosimetry in organs at risk of the brain.
    Poel R; Rüfenacht E; Hermann E; Scheib S; Manser P; Aebersold DM; Reyes M
    Med Image Anal; 2021 Oct; 73():102161. PubMed ID: 34293536
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomics as a measure superior to common similarity metrics for tumor segmentation performance evaluation.
    Akramova R; Watanabe Y
    J Appl Clin Med Phys; 2024 Aug; 25(8):e14442. PubMed ID: 38922790
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Feasibility of Evaluating Result of Auto-segmentation of Target Volumes in Radiotherapy with Medical Consideration Index].
    He Y; Yu H; Zhang S; Luo Y; Fu Y
    Zhongguo Yi Liao Qi Xie Za Zhi; 2021 Sep; 45(5):573-579. PubMed ID: 34628776
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Tissue segmentation of head and neck CT images for treatment planning: a multiatlas approach combined with intensity modeling.
    Fortunati V; Verhaart RF; van der Lijn F; Niessen WJ; Veenland JF; Paulides MM; van Walsum T
    Med Phys; 2013 Jul; 40(7):071905. PubMed ID: 23822442
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Toward accurate tooth segmentation from computed tomography images using a hybrid level set model.
    Gan Y; Xia Z; Xiong J; Zhao Q; Hu Y; Zhang J
    Med Phys; 2015 Jan; 42(1):14-27. PubMed ID: 25563244
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Generic method for automatic bladder segmentation on cone beam CT using a patient-specific bladder shape model.
    van de Schoot AJ; Schooneveldt G; Wognum S; Hoogeman MS; Chai X; Stalpers LJ; Rasch CR; Bel A
    Med Phys; 2014 Mar; 41(3):031707. PubMed ID: 24593711
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Semiautomatic segmentation of atherosclerotic carotid artery wall volume using 3D ultrasound imaging.
    Hossain MM; AlMuhanna K; Zhao L; Lal BK; Sikdar S
    Med Phys; 2015 Apr; 42(4):2029-43. PubMed ID: 25832093
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SIFT-based dense pixel tracking on 0.35 T cine-MR images acquired during image-guided radiation therapy with application to gating optimization.
    Mazur TR; Fischer-Valuck BW; Wang Y; Yang D; Mutic S; Li HH
    Med Phys; 2016 Jan; 43(1):279. PubMed ID: 26745921
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Low-complexity atlas-based prostate segmentation by combining global, regional, and local metrics.
    Xie Q; Ruan D
    Med Phys; 2014 Apr; 41(4):041909. PubMed ID: 24694140
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks.
    Karimi D; Salcudean SE
    IEEE Trans Med Imaging; 2020 Feb; 39(2):499-513. PubMed ID: 31329113
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.
    Pipitone J; Park MT; Winterburn J; Lett TA; Lerch JP; Pruessner JC; Lepage M; Voineskos AN; Chakravarty MM;
    Neuroimage; 2014 Nov; 101():494-512. PubMed ID: 24784800
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic contour segmentation of cervical cancer using artificial intelligence.
    Kano Y; Ikushima H; Sasaki M; Haga A
    J Radiat Res; 2021 Sep; 62(5):934-944. PubMed ID: 34401914
    [TBL] [Abstract][Full Text] [Related]  

  • 17. What Matters in Radiological Image Segmentation? Effect of Segmentation Errors on the Diagnostic Related Features.
    Chen Z; Chen J; Zhao J; Liu B; Jiang S; Si D; Ding H; Nian Y; Yang X; Xiao J
    J Digit Imaging; 2023 Oct; 36(5):2088-2099. PubMed ID: 37340195
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy.
    Yang J; Beadle BM; Garden AS; Gunn B; Rosenthal D; Ang K; Frank S; Williamson R; Balter P; Court L; Dong L
    Pract Radiat Oncol; 2014; 4(1):e31-7. PubMed ID: 24621429
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Client/Server based Online Environment for the Calculation of Medical Segmentation Scores.
    Weber M; Wild D; Wallner J; Egger J
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3463-3467. PubMed ID: 31946624
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.