BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

347 related articles for article (PubMed ID: 33611030)

  • 1. Dynamically learned PSO based neighborhood influenced fuzzy c-means for pre-treatment and post-treatment organ segmentation from CT images.
    Chakraborty T; Banik SK; Bhadra AK; Nandi D
    Comput Methods Programs Biomed; 2021 Apr; 202():105971. PubMed ID: 33611030
    [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. Improved Fuzzy C-Means based Particle Swarm Optimization (PSO) initialization and outlier rejection with level set methods for MR brain image segmentation.
    Mekhmoukh A; Mokrani K
    Comput Methods Programs Biomed; 2015 Nov; 122(2):266-81. PubMed ID: 26299609
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Segmentation and Diagnosis of Liver Carcinoma Based on Adaptive Scale-Kernel Fuzzy Clustering Model for CT Images.
    Cai J
    J Med Syst; 2019 Oct; 43(11):322. PubMed ID: 31602537
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks.
    Chen J; Li Y; Luna LP; Chung HW; Rowe SP; Du Y; Solnes LB; Frey EC
    Med Phys; 2021 Jul; 48(7):3860-3877. PubMed ID: 33905560
    [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. CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm.
    Anter AM; Hassenian AE
    Artif Intell Med; 2019 Jun; 97():105-117. PubMed ID: 30558825
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Robust information gain based fuzzy c-means clustering and classification of carotid artery ultrasound images.
    Hassan M; Chaudhry A; Khan A; Iftikhar MA
    Comput Methods Programs Biomed; 2014 Feb; 113(2):593-609. PubMed ID: 24239296
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm.
    Chowdhary CL; Mittal M; P K; Pattanaik PA; Marszalek Z
    Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32668793
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. [A new algorithm for magnetic resonance image segmentation based on fuzzy kerne1 clustering].
    Yu XF; Li B; Chen WF
    Nan Fang Yi Ke Da Xue Xue Bao; 2008 Apr; 28(4):555-7. PubMed ID: 18495589
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis.
    Dash M; Londhe ND; Ghosh S; Shrivastava VK; Sonawane RS
    Comput Biol Chem; 2020 Jun; 86():107247. PubMed ID: 32413831
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.
    Xu M; Qi S; Yue Y; Teng Y; Xu L; Yao Y; Qian W
    Biomed Eng Online; 2019 Jan; 18(1):2. PubMed ID: 30602393
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering.
    Rundo L; Beer L; Ursprung S; Martin-Gonzalez P; Markowetz F; Brenton JD; Crispin-Ortuzar M; Sala E; Woitek R
    Comput Biol Med; 2020 May; 120():103751. PubMed ID: 32421652
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Breast Cancer Detection using Crow Search Optimization based Intuitionistic Fuzzy Clustering with Neighborhood Attraction.
    S P; N KV; S S
    Asian Pac J Cancer Prev; 2019 Jan; 20(1):157-165. PubMed ID: 30678427
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [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]  

  • 19. 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]  

  • 20. Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration.
    Sun K; Udupa JK; Odhner D; Tong Y; Zhao L; Torigian DA
    Med Phys; 2016 Mar; 43(3):1487-500. PubMed ID: 26936732
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.