BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

190 related articles for article (PubMed ID: 35135234)

  • 1. Brain tissue segmentation via non-local fuzzy c-means clustering combined with Markov random field.
    Song J; Yuan L
    Math Biosci Eng; 2022 Jan; 19(2):1891-1908. PubMed ID: 35135234
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation.
    Elazab A; AbdulAzeem YM; Wu S; Hu Q
    J Xray Sci Technol; 2016 Mar; 24(3):489-507. PubMed ID: 27257884
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Segmentation of Brain Tissues from MRI Images Using Multitask Fuzzy Clustering Algorithm.
    Zhao Y; Huang Z; Che H; Xie F; Liu M; Wang M; Sun D
    J Healthc Eng; 2023; 2023():4387134. PubMed ID: 36844948
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Brain Tissue Segmentation and Bias Field Correction of MR Image Based on Spatially Coherent FCM with Nonlocal Constraints.
    Song J; Zhang Z
    Comput Math Methods Med; 2019; 2019():4762490. PubMed ID: 30944578
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Brain tissue segmentation using improved kernelized rough-fuzzy C-means with spatio-contextual information from MRI.
    Halder A; Talukdar NA
    Magn Reson Imaging; 2019 Oct; 62():129-151. PubMed ID: 31247252
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fuzzy local Gaussian mixture model for brain MR image segmentation.
    Ji Z; Xia Y; Sun Q; Chen Q; Xia D; Feng DD
    IEEE Trans Inf Technol Biomed; 2012 May; 16(3):339-47. PubMed ID: 22287250
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR image.
    Ji ZX; Sun QS; Xia DS
    Comput Med Imaging Graph; 2011 Jul; 35(5):383-97. PubMed ID: 21256710
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A spatial fuzzy C-means algorithm for segmentation of brain MRI images.
    Khan SU; Ullah I; Ahmed I; Imran A; Ullah N
    J Xray Sci Technol; 2019; 27(6):1087-1099. PubMed ID: 31561406
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Brain tissue segmentation using fuzzy clustering techniques.
    Sucharitha M; Geetha KP
    Technol Health Care; 2015; 23(5):571-80. PubMed ID: 26410118
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods.
    Pham TX; Siarry P; Oulhadj H
    Magn Reson Imaging; 2019 Sep; 61():41-65. PubMed ID: 31108153
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A level set method based on domain transformation and bias correction for MRI brain tumor segmentation.
    Khosravanian A; Rahmanimanesh M; Keshavarzi P; Mozaffari S
    J Neurosci Methods; 2021 Mar; 352():109091. PubMed ID: 33515604
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Similarity Measure-Based Possibilistic FCM With Label Information for Brain MRI Segmentation.
    Bai X; Zhang Y; Liu H; Chen Z
    IEEE Trans Cybern; 2019 Jul; 49(7):2618-2630. PubMed ID: 29994555
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Robust spatial fuzzy GMM based MRI segmentation and carotid artery plaque detection in ultrasound images.
    Hassan M; Murtza I; Hira A; Ali S; Kifayat K
    Comput Methods Programs Biomed; 2019 Jul; 175():179-192. PubMed ID: 31104706
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Hip-Joint CT Image Segmentation Based on Hidden Markov Model with Gauss Regression Constraints.
    Liu H; Dai G; Pu F
    J Med Syst; 2019 Aug; 43(10):309. PubMed ID: 31446505
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Improved fuzzy clustering algorithms in segmentation of DC-enhanced breast MRI.
    Kannan SR; Ramathilagam S; Devi P; Sathya A
    J Med Syst; 2012 Feb; 36(1):321-33. PubMed ID: 20703716
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [MR brain image segmentation based on modified fuzzy C-means clustering using fuzzy GIbbs random field].
    Liao L; Lin T; Li B; Zhang W
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Dec; 25(6):1264-70. PubMed ID: 19166189
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.