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 *

182 related articles for article (PubMed ID: 26736840)

  • 1. Determination of border irregularity in dermoscopic color images of pigmented skin lesions.
    Jaworek-Korjakowska J; Tadeusiewicz R
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():2665-8. PubMed ID: 26736840
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Determination of border irregularity in dermoscopic color images of pigmented skin lesions.
    Jaworek-Korjakowska J; Tadeusiewicz R
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6459-62. PubMed ID: 25571475
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Novel Method for Border Irregularity Assessment in Dermoscopic Color Images.
    Jaworek-Korjakowska J
    Comput Math Methods Med; 2015; 2015():496202. PubMed ID: 26604980
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Skin lesion image segmentation using Delaunay Triangulation for melanoma detection.
    Pennisi A; Bloisi DD; Nardi D; Giampetruzzi AR; Mondino C; Facchiano A
    Comput Med Imaging Graph; 2016 Sep; 52():89-103. PubMed ID: 27215953
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Density-based parallel skin lesion border detection with webCL.
    Lemon J; Kockara S; Halic T; Mete M
    BMC Bioinformatics; 2015; 16 Suppl 13(Suppl 13):S5. PubMed ID: 26423836
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images.
    Kaya S; Bayraktar M; Kockara S; Mete M; Halic T; Field HE; Wong HK
    BMC Bioinformatics; 2016 Oct; 17(Suppl 13):367. PubMed ID: 27766942
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combined Spline and B-spline for an improved automatic skin lesion segmentation in dermoscopic images using optimal color channel.
    Abbas AA; Guo X; Tan WH; Jalab HA
    J Med Syst; 2014 Aug; 38(8):80. PubMed ID: 24957396
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic lesion border selection in dermoscopy images using morphology and color features.
    Mishra NK; Kaur R; Kasmi R; Hagerty JR; LeAnder R; Stanley RJ; Moss RH; Stoecker WV
    Skin Res Technol; 2019 Jul; 25(4):544-552. PubMed ID: 30868667
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.
    Baig R; Bibi M; Hamid A; Kausar S; Khalid S
    Curr Med Imaging; 2020; 16(5):513-533. PubMed ID: 32484086
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Melanoma recognition in dermoscopy images using lesion's peripheral region information.
    Tajeddin NZ; Asl BM
    Comput Methods Programs Biomed; 2018 Sep; 163():143-153. PubMed ID: 30119849
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Melanoma recognition framework based on expert definition of ABCD for dermoscopic images.
    Abbas Q; Emre Celebi M; Garcia IF; Ahmad W
    Skin Res Technol; 2013 Feb; 19(1):e93-102. PubMed ID: 22672769
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic skin tumour border detection for digital dermoscopy using a new digital image analysis scheme.
    Abbas Q; García IF; Rashid M
    Br J Biomed Sci; 2010; 67(4):177-83. PubMed ID: 21294444
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Skin tumor area extraction using an improved dynamic programming approach.
    Abbas Q; Celebi ME; Fondón García I
    Skin Res Technol; 2012 May; 18(2):133-42. PubMed ID: 21507072
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An improved border detection in dermoscopy images for density based clustering.
    Suer S; Kockara S; Mete M
    BMC Bioinformatics; 2011 Oct; 12 Suppl 10(Suppl 10):S12. PubMed ID: 22166058
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Melanoma Skin Cancer Detection based on Image Processing.
    Zghal NS; Derbel N
    Curr Med Imaging Rev; 2020; 16(1):50-58. PubMed ID: 31989893
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification.
    Chatterjee S; Dey D; Munshi S
    Comput Methods Programs Biomed; 2019 Sep; 178():201-218. PubMed ID: 31416550
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel cumulative level difference mean based GLDM and modified ABCD features ranked using eigenvector centrality approach for four skin lesion types classification.
    Wahba MA; Ashour AS; Guo Y; Napoleon SA; Elnaby MMA
    Comput Methods Programs Biomed; 2018 Oct; 165():163-174. PubMed ID: 30337071
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fast density-based lesion detection in dermoscopy images.
    Mete M; Kockara S; Aydin K
    Comput Med Imaging Graph; 2011 Mar; 35(2):128-36. PubMed ID: 20800995
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Digital image analysis for diagnosis of cutaneous melanoma. Development of a highly effective computer algorithm based on analysis of 837 melanocytic lesions.
    Blum A; Luedtke H; Ellwanger U; Schwabe R; Rassner G; Garbe C
    Br J Dermatol; 2004 Nov; 151(5):1029-38. PubMed ID: 15541081
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.