BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 21671094)

  • 1. Nasopharyngeal carcinoma segmentation using a region growing technique.
    Chanapai W; Bhongmakapat T; Tuntiyatorn L; Ritthipravat P
    Int J Comput Assist Radiol Surg; 2012 May; 7(3):413-22. PubMed ID: 21671094
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computer-aided diagnosis and regional segmentation of nasopharyngeal carcinoma based on multi-modality medical images.
    Qi Y; Li J; Chen H; Guo Y; Yin Y; Gong G; Wang L
    Int J Comput Assist Radiol Surg; 2021 Jun; 16(6):871-882. PubMed ID: 33782844
    [TBL] [Abstract][Full Text] [Related]  

  • 3. TG-Net: Combining transformer and GAN for nasopharyngeal carcinoma tumor segmentation based on total-body uEXPLORER PET/CT scanner.
    Huang Z; Tang S; Chen Z; Wang G; Shen H; Zhou Y; Wang H; Fan W; Liang D; Hu Y; Hu Z
    Comput Biol Med; 2022 Sep; 148():105869. PubMed ID: 35905660
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Efficient liver segmentation using a level-set method with optimal detection of the initial liver boundary from level-set speed images.
    Lee J; Kim N; Lee H; Seo JB; Won HJ; Shin YM; Shin YG; Kim SH
    Comput Methods Programs Biomed; 2007 Oct; 88(1):26-38. PubMed ID: 17719125
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Correction of oral contrast artifacts in CT-based attenuation correction of PET images using an automated segmentation algorithm.
    Ahmadian A; Ay MR; Bidgoli JH; Sarkar S; Zaidi H
    Eur J Nucl Med Mol Imaging; 2008 Oct; 35(10):1812-23. PubMed ID: 18418597
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Study on the assignment method of intensity modulated radiotherapy plan for nasopharyngeal carcinoma based on MR images].
    Yao XS; Gong GZ; Ren JX; Zuo GP; Yin Y
    Zhonghua Zhong Liu Za Zhi; 2021 Aug; 43(8):850-855. PubMed ID: 34407590
    [No Abstract]   [Full Text] [Related]  

  • 7. Segmentation of extrapulmonary tuberculosis infection using modified automatic seeded region growing.
    Avazpour I; Saripan MI; Nordin AJ; Abdullah RS
    Biol Proced Online; 2009 Jul; 11():241-52. PubMed ID: 19597904
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Use and uncertainties of mutual information for computed tomography/ magnetic resonance (CT/MR) registration post permanent implant of the prostate.
    Roberson PL; McLaughlin PW; Narayana V; Troyer S; Hixson GV; Kessler ML
    Med Phys; 2005 Feb; 32(2):473-82. PubMed ID: 15789594
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A region growing method for tumor volume segmentation on PET images for rectal and anal cancer patients.
    Day E; Betler J; Parda D; Reitz B; Kirichenko A; Mohammadi S; Miften M
    Med Phys; 2009 Oct; 36(10):4349-58. PubMed ID: 19928065
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Interactive semiautomatic contour delineation using statistical conditional random fields framework.
    Hu YC; Grossberg MD; Wu A; Riaz N; Perez C; Mageras GS
    Med Phys; 2012 Jul; 39(7):4547-58. PubMed ID: 22830786
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 3D segmentation of nasopharyngeal carcinoma from CT images using cascade deep learning.
    Daoud B; Morooka K; Kurazume R; Leila F; Mnejja W; Daoud J
    Comput Med Imaging Graph; 2019 Oct; 77():101644. PubMed ID: 31426004
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Globally optimal tumor segmentation in PET-CT images: a graph-based co-segmentation method.
    Han D; Bayouth J; Song Q; Taurani A; Sonka M; Buatti J; Wu X
    Inf Process Med Imaging; 2011; 22():245-56. PubMed ID: 21761661
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Semi-supervised nasopharyngeal carcinoma lesion extraction from magnetic resonance images using online spectral clustering with a learned metric.
    Huang W; Chan KL; Gao Y; Zhou J; Chong V
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):51-8. PubMed ID: 18979731
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images.
    Shi Z; Ma J; Zhao M; Liu Y; Feng Y; Zhang M; He L; Suzuki K
    Biomed Res Int; 2016; 2016():1480423. PubMed ID: 27635395
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Object-constrained meshless deformable algorithm for high speed 3D nonrigid registration between CT and CBCT.
    Chen T; Kim S; Goyal S; Jabbour S; Zhou J; Rajagopal G; Haffty B; Yue N
    Med Phys; 2010 Jan; 37(1):197-210. PubMed ID: 20175482
    [TBL] [Abstract][Full Text] [Related]  

  • 17. GPU acceleration of liver enhancement for tumor segmentation.
    Satpute N; Naseem R; Pelanis E; Gómez-Luna J; Cheikh FA; Elle OJ; Olivares J
    Comput Methods Programs Biomed; 2020 Feb; 184():105285. PubMed ID: 31896055
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Region-based nasopharyngeal carcinoma lesion segmentation from MRI using clustering- and classification-based methods with learning.
    Huang W; Chan KL; Zhou J
    J Digit Imaging; 2013 Jun; 26(3):472-82. PubMed ID: 22854973
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic segmentation of cerebrospinal fluid, white and gray matter in unenhanced computed tomography images.
    Gupta V; Ambrosius W; Qian G; Blazejewska A; Kazmierski R; Urbanik A; Nowinski WL
    Acad Radiol; 2010 Nov; 17(11):1350-8. PubMed ID: 20634108
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An Approach for Pulmonary Vascular Extraction from Chest CT Images.
    Tan W; Yuan Y; Chen A; Mao L; Ke Y; Lv X
    J Healthc Eng; 2019; 2019():9712970. PubMed ID: 30800258
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.