BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 30130371)

  • 1. Automated glioma detection and segmentation using graphical models.
    Zhao Z; Yang G; Lin Y; Pang H; Wang M
    PLoS One; 2018; 13(8):e0200745. PubMed ID: 30130371
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI.
    Soltaninejad M; Yang G; Lambrou T; Allinson N; Jones TL; Barrick TR; Howe FA; Ye X
    Int J Comput Assist Radiol Surg; 2017 Feb; 12(2):183-203. PubMed ID: 27651330
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automatic glioma segmentation based on adaptive superpixel.
    Wu Y; Zhao Z; Wu W; Lin Y; Wang M
    BMC Med Imaging; 2019 Aug; 19(1):73. PubMed ID: 31443642
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.
    Sauwen N; Acou M; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Huffel SV
    BMC Med Imaging; 2017 May; 17(1):29. PubMed ID: 28472943
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization.
    Bauer S; Nolte LP; Reyes M
    Med Image Comput Comput Assist Interv; 2011; 14(Pt 3):354-61. PubMed ID: 22003719
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fast level set method for glioma brain tumor segmentation based on Superpixel fuzzy clustering and lattice Boltzmann method.
    Khosravanian A; Rahmanimanesh M; Keshavarzi P; Mozaffari S
    Comput Methods Programs Biomed; 2021 Jan; 198():105809. PubMed ID: 33130495
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MRI Brain Tumour Segmentation Using Hybrid Clustering and Classification by Back Propagation Algorithm.
    M M; P S
    Asian Pac J Cancer Prev; 2018 Nov; 19(11):3257-3263. PubMed ID: 30486629
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.
    Inano R; Oishi N; Kunieda T; Arakawa Y; Yamao Y; Shibata S; Kikuchi T; Fukuyama H; Miyamoto S
    Neuroimage Clin; 2014; 5():396-407. PubMed ID: 25180159
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Brain tumor detection and segmentation in a CRF (conditional random fields) framework with pixel-pairwise affinity and superpixel-level features.
    Wu W; Chen AY; Zhao L; Corso JJ
    Int J Comput Assist Radiol Surg; 2014 Mar; 9(2):241-53. PubMed ID: 23860630
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field.
    Chen M; Yan Q; Qin M
    Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):200-211. PubMed ID: 29072503
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine learning based brain tumour segmentation on limited data using local texture and abnormality.
    Bonte S; Goethals I; Van Holen R
    Comput Biol Med; 2018 Jul; 98():39-47. PubMed ID: 29763764
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A generative model for brain tumor segmentation in multi-modal images.
    Menze BH; Van Leemput K; Lashkari D; Weber MA; Ayache N; Golland P
    Med Image Comput Comput Assist Interv; 2010; 13(Pt 2):151-9. PubMed ID: 20879310
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
    Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
    Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fusion based Glioma brain tumor detection and segmentation using ANFIS classification.
    Selvapandian A; Manivannan K
    Comput Methods Programs Biomed; 2018 Nov; 166():33-38. PubMed ID: 30415716
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Glioma grading using a machine-learning framework based on optimized features obtained from T
    Sengupta A; Ramaniharan AK; Gupta RK; Agarwal S; Singh A
    J Magn Reson Imaging; 2019 Oct; 50(4):1295-1306. PubMed ID: 30895704
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks.
    Abd-Ellah MK; Awad AI; Khalaf AAM; Ibraheem AM
    Sci Rep; 2024 Apr; 14(1):9501. PubMed ID: 38664436
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparative Approach of MRI-Based Brain Tumor Segmentation and Classification Using Genetic Algorithm.
    Bahadure NB; Ray AK; Thethi HP
    J Digit Imaging; 2018 Aug; 31(4):477-489. PubMed ID: 29344753
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Semiautomatic Segmentation of Glioma on Mobile Devices.
    Wu YP; Lin YS; Wu WG; Yang C; Gu JQ; Bai Y; Wang MY
    J Healthc Eng; 2017; 2017():8054939. PubMed ID: 29065648
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A new multistage medical segmentation method based on superpixel and fuzzy clustering.
    Ji S; Wei B; Yu Z; Yang G; Yin Y
    Comput Math Methods Med; 2014; 2014():747549. PubMed ID: 24734117
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SMBFT: A Modified Fuzzy
    Yu Z; Tian C; Ji S; Wei B; Yin Y
    Comput Math Methods Med; 2021; 2021():1053242. PubMed ID: 34659445
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.