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 *

113 related articles for article (PubMed ID: 34460696)

  • 1. On Computational Aspects of Krawtchouk Polynomials for High Orders.
    Mahmmod BM; Abdul-Hadi AM; Abdulhussain SH; Hussien A
    J Imaging; 2020 Aug; 6(8):. PubMed ID: 34460696
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Reliable Recurrence Algorithm for High-Order Krawtchouk Polynomials.
    Al-Utaibi KA; Abdulhussain SH; Mahmmod BM; Naser MA; Alsabah M; Sait SM
    Entropy (Basel); 2021 Sep; 23(9):. PubMed ID: 34573787
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Image analysis by Krawtchouk moments.
    Yap PT; Paramesran R; Ong SH
    IEEE Trans Image Process; 2003; 12(11):1367-77. PubMed ID: 18244694
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of image patches using local moment invariants.
    Sit A; Kihara D
    IEEE Trans Image Process; 2014 May; 23(5):2369-79. PubMed ID: 24718574
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Three-Dimensional Krawtchouk Descriptors for Protein Local Surface Shape Comparison.
    Sit A; Shin WH; Kihara D
    Pattern Recognit; 2019 Sep; 93():534-545. PubMed ID: 32042209
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Robust Handwritten Numeral Recognition Using Hybrid Orthogonal Polynomials and Moments.
    Abdulhussain SH; Mahmmod BM; Naser MA; Alsabah MQ; Ali R; Al-Haddad SAR
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33808986
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Performance enhancement of high order Hahn polynomials using multithreading.
    Mahmmod BM; Flayyih WN; Fakhri ZH; Abdulhussain SH; Khan W; Hussain A
    PLoS One; 2023; 18(10):e0286878. PubMed ID: 37878605
    [TBL] [Abstract][Full Text] [Related]  

  • 8. On the computation of recurrence coefficients for univariate orthogonal polynomials.
    Liu Z; Narayan A
    J Sci Comput; 2021 Sep; 88(3):. PubMed ID: 34483475
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Single-pixel compressive imaging based on the transformation of discrete orthogonal Krawtchouk moments.
    Chen Y; Yao XR; Zhao Q; Liu S; Liu XF; Wang C; Zhai GJ
    Opt Express; 2019 Oct; 27(21):29838-29853. PubMed ID: 31684240
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants.
    Karakasis EG; Papakostas GA; Koulouriotis DE; Tourassis VD
    IEEE Trans Image Process; 2014 Feb; 23(2):596-611. PubMed ID: 24216719
    [TBL] [Abstract][Full Text] [Related]  

  • 11. On the classification of simple and complex biological images using Krawtchouk moments and Generalized pseudo-Zernike moments: a case study with fly wing images and breast cancer mammograms.
    Goh JY; Khang TF
    PeerJ Comput Sci; 2021; 7():e698. PubMed ID: 34604523
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Optimal reconstruction and compression of signals and images by Hahn moments and artificial bee Colony (ABC) algorithm.
    Bencherqui A; Daoui A; Karmouni H; Qjidaa H; Alfidi M; Sayyouri M
    Multimed Tools Appl; 2022; 81(21):29753-29783. PubMed ID: 35401027
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Image analysis by Tchebichef moments.
    Mukundan R; Ong SH; Lee PA
    IEEE Trans Image Process; 2001; 10(9):1357-64. PubMed ID: 18255550
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fast and stable computation of higher-order Hahn polynomials and Hahn moment invariants for signal and image analysis.
    Daoui A; Karmouni H; Sayyouri M; Qjidaa H
    Multimed Tools Appl; 2021; 80(21-23):32947-32973. PubMed ID: 34393613
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improving the performance of image classification by Hahn moment invariants.
    Sayyouri M; Hmimid A; Qjidaa H
    J Opt Soc Am A Opt Image Sci Vis; 2013 Nov; 30(11):2381-94. PubMed ID: 24322939
    [TBL] [Abstract][Full Text] [Related]  

  • 16. THE POWER COLLECTION METHOD FOR CONNECTION RELATIONS: MEIXNER POLYNOMIALS.
    Baeder MA; Cohl HS; Costas-Santos RS; Xu W
    J Class Anal; 2017; 11(2):. PubMed ID: 36579080
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Some computational aspects of discrete orthonormal moments.
    Mukundan R
    IEEE Trans Image Process; 2004 Aug; 13(8):1055-9. PubMed ID: 15326847
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Higher-Order Polynomial Method for SPECT Reconstruction.
    Jiang Y; Li S; Xu Y
    IEEE Trans Med Imaging; 2019 May; 38(5):1271-1283. PubMed ID: 30489263
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fast computation of Tchebichef moments for binary and grayscale images.
    Shu H; Zhang H; Chen B; Haigron P; Luo L
    IEEE Trans Image Process; 2010 Dec; 19(12):3171-80. PubMed ID: 20542765
    [TBL] [Abstract][Full Text] [Related]  

  • 20. New fractional-order shifted Gegenbauer moments for image analysis and recognition.
    Hosny KM; Darwish MM; Eltoukhy MM
    J Adv Res; 2020 Sep; 25():57-66. PubMed ID: 32922974
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.