BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 28553582)

  • 1. Segmentation of White Blood Cells From Microscopic Images Using a Novel Combination of K-Means Clustering and Modified Watershed Algorithm.
    Ghane N; Vard A; Talebi A; Nematollahy P
    J Med Signals Sens; 2017; 7(2):92-101. PubMed ID: 28553582
    [TBL] [Abstract][Full Text] [Related]  

  • 2. WBC-based segmentation and classification on microscopic images: a minor improvement.
    Lam XH; Ng KW; Yoong YJ; Ng SB
    F1000Res; 2021; 10():1168. PubMed ID: 35399225
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Nucleus and cytoplasm segmentation in microscopic images using K-means clustering and region growing.
    Sarrafzadeh O; Dehnavi AM
    Adv Biomed Res; 2015; 4():174. PubMed ID: 26605213
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Segmentation of white blood cells and comparison of cell morphology by linear and naïve Bayes classifiers.
    Prinyakupt J; Pluempitiwiriyawej C
    Biomed Eng Online; 2015 Jun; 14():63. PubMed ID: 26123131
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel white blood cells segmentation algorithm based on adaptive neutrosophic similarity score.
    Shahin AI; Guo Y; Amin KM; Sharawi AA
    Health Inf Sci Syst; 2018 Dec; 6(1):1. PubMed ID: 29279774
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images.
    Mouelhi A; Rmili H; Ali JB; Sayadi M; Doghri R; Mrad K
    Comput Methods Programs Biomed; 2018 Oct; 165():37-51. PubMed ID: 30337080
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic detection and quantification of WBCs and RBCs using iterative structured circle detection algorithm.
    Alomari YM; Sheikh Abdullah SN; Zaharatul Azma R; Omar K
    Comput Math Methods Med; 2014; 2014():979302. PubMed ID: 24803955
    [TBL] [Abstract][Full Text] [Related]  

  • 8. White blood cell segmentation by color-space-based k-means clustering.
    Zhang C; Xiao X; Li X; Chen YJ; Zhen W; Chang J; Zheng C; Liu Z
    Sensors (Basel); 2014 Sep; 14(9):16128-47. PubMed ID: 25256107
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Segmentation of White Blood Cells through Nucleus Mark Watershed Operations and Mean Shift Clustering.
    Liu Z; Liu J; Xiao X; Yuan H; Li X; Chang J; Zheng C
    Sensors (Basel); 2015 Sep; 15(9):22561-86. PubMed ID: 26370995
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Masseter segmentation using an improved watershed algorithm with unsupervised classification.
    Ng HP; Ong SH; Foong KW; Goh PS; Nowinski WL
    Comput Biol Med; 2008 Feb; 38(2):171-84. PubMed ID: 17950265
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Graphical Image Region Extraction with K-Means Clustering and Watershed.
    Jardim S; António J; Mora C
    J Imaging; 2022 Jun; 8(6):. PubMed ID: 35735962
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A color and shape based algorithm for segmentation of white blood cells in peripheral blood and bone marrow images.
    Arslan S; Ozyurek E; Gunduz-Demir C
    Cytometry A; 2014 Jun; 85(6):480-90. PubMed ID: 24623453
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A segmentation method based on HMRF for the aided diagnosis of acute myeloid leukemia.
    Su J; Liu S; Song J
    Comput Methods Programs Biomed; 2017 Dec; 152():115-123. PubMed ID: 29054251
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Segmentation of nerve fibers using multi-level gradient watershed and fuzzy systems.
    Wang YY; Sun YN; Lin CC; Ju MS
    Artif Intell Med; 2012 Mar; 54(3):189-200. PubMed ID: 22239996
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Segmentation of White Blood Cell, Nucleus and Cytoplasm in Digital Haematology Microscope Images: A Review-Challenges, Current and Future Potential Techniques.
    Al-Dulaimi K; Banks J; Nugyen K; Al-Sabaawi A; Tomeo-Reyes I; Chandran V
    IEEE Rev Biomed Eng; 2021; 14():290-306. PubMed ID: 32746365
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Recognition of acute lymphoblastic leukemia cells in microscopic images using k-means clustering and support vector machine classifier.
    Amin MM; Kermani S; Talebi A; Oghli MG
    J Med Signals Sens; 2015; 5(1):49-58. PubMed ID: 25709941
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Combinational Clustering Based Method for cDNA Microarray Image Segmentation.
    Shao G; Li T; Zuo W; Wu S; Liu T
    PLoS One; 2015; 10(8):e0133025. PubMed ID: 26241767
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An improved approach for the segmentation of starch granules in microscopic images.
    Guo S; Tang J; Deng Y; Xia Q
    BMC Genomics; 2010 Nov; 11 Suppl 2(Suppl 2):S13. PubMed ID: 21047380
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic setae segmentation from Chaetoceros microscopic images.
    Zheng H; Zhao H; Sun X; Gao H; Ji G
    Microsc Res Tech; 2014 Sep; 77(9):684-90. PubMed ID: 24913015
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering.
    Shan J; Cheng HD; Wang Y
    Med Phys; 2012 Sep; 39(9):5669-82. PubMed ID: 22957633
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.