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 *

177 related articles for article (PubMed ID: 23531405)

  • 1. Validation of various adaptive threshold methods of segmentation applied to follicular lymphoma digital images stained with 3,3'-Diaminobenzidine&Haematoxylin.
    Korzynska A; Roszkowiak L; Lopez C; Bosch R; Witkowski L; Lejeune M
    Diagn Pathol; 2013 Mar; 8():48. PubMed ID: 23531405
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting.
    Kong H; Gurcan M; Belkacem-Boussaid K
    IEEE Trans Med Imaging; 2011 Sep; 30(9):1661-77. PubMed ID: 21486712
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The influence of the microscope lamp filament colour temperature on the process of digital images of histological slides acquisition standardization.
    Korzynska A; Roszkowiak L; Pijanowska D; Kozlowski W; Markiewicz T
    Diagn Pathol; 2014; 9 Suppl 1(Suppl 1):S13. PubMed ID: 25565329
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using cell nuclei features to detect colon cancer tissue in hematoxylin and eosin stained slides.
    Jørgensen AS; Rasmussen AM; Andersen NKM; Andersen SK; Emborg J; Røge R; Østergaard LR
    Cytometry A; 2017 Aug; 91(8):785-793. PubMed ID: 28727286
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Segmentation of epidermal tissue with histopathological damage in images of haematoxylin and eosin stained human skin.
    Haggerty JM; Wang XN; Dickinson A; O'Malley CJ; Martin EB
    BMC Med Imaging; 2014 Feb; 14():7. PubMed ID: 24521154
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A general framework for the segmentation of follicular lymphoma virtual slides.
    Oger M; Belhomme P; Gurcan MN
    Comput Med Imaging Graph; 2012 Sep; 36(6):442-51. PubMed ID: 22717207
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quantification of immunohistochemical staining by color translation and automated thresholding.
    Ruifrok AC
    Anal Quant Cytol Histol; 1997 Apr; 19(2):107-13. PubMed ID: 9113303
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated Segmentation of Nuclei in Breast Cancer Histopathology Images.
    Paramanandam M; O'Byrne M; Ghosh B; Mammen JJ; Manipadam MT; Thamburaj R; Pakrashi V
    PLoS One; 2016; 11(9):e0162053. PubMed ID: 27649496
    [TBL] [Abstract][Full Text] [Related]  

  • 9. System for quantitative evaluation of DAB&H-stained breast cancer biopsy digital images (CHISEL).
    Roszkowiak L; Korzynska A; Siemion K; Zak J; Pijanowska D; Bosch R; Lejeune M; Lopez C
    Sci Rep; 2021 Apr; 11(1):9291. PubMed ID: 33927266
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer-assisted quantification of CD3+ T cells in follicular lymphoma.
    Abas FS; Shana'ah A; Christian B; Hasserjian R; Louissaint A; Pennell M; Sahiner B; Chen W; Niazi MKK; Lozanski G; Gurcan M
    Cytometry A; 2017 Jun; 91(6):609-621. PubMed ID: 28110507
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Localisation of luminal epithelium edge in digital histopathology images of IHC stained slides of endometrial biopsies.
    Li G; Sanchez V; Patel G; Quenby S; Rajpoot N
    Comput Med Imaging Graph; 2015 Jun; 42():56-64. PubMed ID: 25529641
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Effect of image compression and scaling on automated scoring of immunohistochemical stainings and segmentation of tumor epithelium.
    Konsti J; Lundin M; Linder N; Haglund C; Blomqvist C; Nevanlinna H; Aaltonen K; Nordling S; Lundin J
    Diagn Pathol; 2012 Mar; 7():29. PubMed ID: 22436596
    [TBL] [Abstract][Full Text] [Related]  

  • 13. AutoIHC-Analyzer: computer-assisted microscopy for automated membrane extraction/scoring in HER2 molecular markers.
    Tewary S; Arun I; Ahmed R; Chatterjee S; Mukhopadhyay S
    J Microsc; 2021 Jan; 281(1):87-96. PubMed ID: 32803890
    [TBL] [Abstract][Full Text] [Related]  

  • 14. New Colors for Histology: Optimized Bivariate Color Maps Increase Perceptual Contrast in Histological Images.
    Kather JN; Weis CA; Marx A; Schuster AK; Schad LR; Zöllner FG
    PLoS One; 2015; 10(12):e0145572. PubMed ID: 26717571
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images.
    Abbas Q; Garcia IF; Emre Celebi M; Ahmad W; Mushtaq Q
    Skin Res Technol; 2013 Feb; 19(1):e490-7. PubMed ID: 22882675
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic nuclei segmentation in H&E stained breast cancer histopathology images.
    Veta M; van Diest PJ; Kornegoor R; Huisman A; Viergever MA; Pluim JP
    PLoS One; 2013; 8(7):e70221. PubMed ID: 23922958
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Histopathological image analysis for centroblasts classification through dimensionality reduction approaches.
    Kornaropoulos EN; Niazi MK; Lozanski G; Gurcan MN
    Cytometry A; 2014 Mar; 85(3):242-55. PubMed ID: 24376080
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DAB-quant: An open-source digital system for quantifying immunohistochemical staining with 3,3'-diaminobenzidine (DAB).
    Patel S; Fridovich-Keil S; Rasmussen SA; Fridovich-Keil JL
    PLoS One; 2022; 17(7):e0271593. PubMed ID: 35857792
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel method for tissue segmentation in high-resolution H&E-stained histopathological whole-slide images.
    Kleczek P; Jaworek-Korjakowska J; Gorgon M
    Comput Med Imaging Graph; 2020 Jan; 79():101686. PubMed ID: 31816574
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Image segmentation and identification of paired antibodies in breast tissue.
    Azar JC; Simonsson M; Bengtsson E; Hast A
    Comput Math Methods Med; 2014; 2014():647273. PubMed ID: 25061472
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.