BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

218 related articles for article (PubMed ID: 25487072)

  • 1. Data cluster analysis-based classification of overlapping nuclei in Pap smear samples.
    Guven M; Cengizler C
    Biomed Eng Online; 2014 Dec; 13():159. PubMed ID: 25487072
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images.
    Saha R; Bajger M; Lee G
    Comput Biol Med; 2017 Jun; 85():13-23. PubMed ID: 28431303
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated detection of cell nuclei in pap smear images using morphological reconstruction and clustering.
    Plissiti ME; Nikou C; Charchanti A
    IEEE Trans Inf Technol Biomed; 2011 Mar; 15(2):233-41. PubMed ID: 20952343
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nominated texture based cervical cancer classification.
    Mariarputham EJ; Stephen A
    Comput Math Methods Med; 2015; 2015():586928. PubMed ID: 25649913
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework.
    Bergmeir C; García Silvente M; Benítez JM
    Comput Methods Programs Biomed; 2012 Sep; 107(3):497-512. PubMed ID: 22306072
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images.
    William W; Ware A; Basaza-Ejiri AH; Obungoloch J
    Biomed Eng Online; 2019 Feb; 18(1):16. PubMed ID: 30755214
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Unsupervised segmentation of overlapped nuclei using Bayesian classification.
    Jung C; Kim C; Chae SW; Oh S
    IEEE Trans Biomed Eng; 2010 Dec; 57(12):2825-32. PubMed ID: 20656648
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Novel Approach of Mathematical Theory of Shape and Neuro-Fuzzy Based Diagnostic Analysis of Cervical Cancer.
    Kar S; Majumder DD
    Pathol Oncol Res; 2019 Apr; 25(2):777-790. PubMed ID: 30729412
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
    William W; Ware A; Basaza-Ejiri AH; Obungoloch J
    Comput Methods Programs Biomed; 2018 Oct; 164():15-22. PubMed ID: 30195423
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells.
    Tang JR; Mat Isa NA; Ch'ng ES
    PLoS One; 2015; 10(11):e0142830. PubMed ID: 26560331
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A contour property based approach to segment nuclei in cervical cytology images.
    Hoque IT; Ibtehaz N; Chakravarty S; Rahman MS; Rahman MS
    BMC Med Imaging; 2021 Jan; 21(1):15. PubMed ID: 33509110
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Overlapping cell nuclei segmentation using a spatially adaptive active physical model.
    Plissiti ME; Nikou C
    IEEE Trans Image Process; 2012 Nov; 21(11):4568-80. PubMed ID: 22752135
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Semi-automatic segmentation and classification of Pap smear cells.
    Chen YF; Huang PC; Lin KC; Lin HH; Wang LE; Cheng CC; Chen TP; Chan YK; Chiang JY
    IEEE J Biomed Health Inform; 2014 Jan; 18(1):94-108. PubMed ID: 24403407
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Debris removal in Pap-smear images.
    Malm P; Balakrishnan BN; Sujathan VK; Kumar R; Bengtsson E
    Comput Methods Programs Biomed; 2013 Jul; 111(1):128-38. PubMed ID: 23582663
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic cervical cell segmentation and classification in Pap smears.
    Chankong T; Theera-Umpon N; Auephanwiriyakul S
    Comput Methods Programs Biomed; 2014 Feb; 113(2):539-56. PubMed ID: 24433758
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells.
    Tareef A; Song Y; Huang H; Feng D; Chen M; Wang Y; Cai W
    IEEE Trans Med Imaging; 2018 Sep; 37(9):2044-2059. PubMed ID: 29993863
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cytoplasm segmentation on cervical cell images using graph cut-based approach.
    Zhang L; Kong H; Chin CT; Wang T; Chen S
    Biomed Mater Eng; 2014; 24(1):1125-31. PubMed ID: 24212005
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cells.
    Zhi Lu ; Carneiro G; Bradley AP
    IEEE Trans Image Process; 2015 Apr; 24(4):1261-72. PubMed ID: 25585419
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spatial fuzzy c-means algorithm with adaptive fuzzy exponent selection for robust vermilion border detection in healthy and diseased lower lips.
    Spyridonos P; Gaitanis G; Tzaphlidou M; Bassukas ID
    Comput Methods Programs Biomed; 2014 May; 114(3):291-301. PubMed ID: 24661607
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A new automatic image analysis method for assessing estrogen receptors' status in breast tissue specimens.
    Mouelhi A; Sayadi M; Fnaiech F; Mrad K; Ben Romdhane K
    Comput Biol Med; 2013 Dec; 43(12):2263-77. PubMed ID: 24290943
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.