BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

344 related articles for article (PubMed ID: 26604980)

  • 1. 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]  

  • 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. 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]  

  • 4. 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]  

  • 5. 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]  

  • 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. 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]  

  • 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. Border detection in dermoscopy images using hybrid thresholding on optimized color channels.
    Garnavi R; Aldeen M; Celebi ME; Varigos G; Finch S
    Comput Med Imaging Graph; 2011 Mar; 35(2):105-15. PubMed ID: 20832992
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Detection and analysis of irregular streaks in dermoscopic images of skin lesions.
    Sadeghi M; Lee TK; McLean D; Lui H; Atkins MS
    IEEE Trans Med Imaging; 2013 May; 32(5):849-61. PubMed ID: 23335664
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Three-phase general border detection method for dermoscopy images using non-uniform illumination correction.
    Norton KA; Iyatomi H; Celebi ME; Ishizaki S; Sawada M; Suzaki R; Kobayashi K; Tanaka M; Ogawa K
    Skin Res Technol; 2012 Aug; 18(3):290-300. PubMed ID: 22092500
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.
    Kaur R; Albano PP; Cole JG; Hagerty J; LeAnder RW; Moss RH; Stoecker WV
    Skin Res Technol; 2015 Nov; 21(4):466-73. PubMed ID: 25809473
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A methodological approach to the classification of dermoscopy images.
    Celebi ME; Kingravi HA; Uddin B; Iyatomi H; Aslandogan YA; Stoecker WV; Moss RH
    Comput Med Imaging Graph; 2007 Sep; 31(6):362-73. PubMed ID: 17387001
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Objective evaluation of methods for border detection in dermoscopy images.
    Celebi ME; Schaefer G; Iyatomi H
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3056-9. PubMed ID: 19163351
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Border detection in dermoscopy images using statistical region merging.
    Celebi ME; Kingravi HA; Iyatomi H; Aslandogan YA; Stoecker WV; Moss RH; Malters JM; Grichnik JM; Marghoob AA; Rabinovitz HS; Menzies SW
    Skin Res Technol; 2008 Aug; 14(3):347-53. PubMed ID: 19159382
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Lesion border detection in dermoscopy images using ensembles of thresholding methods.
    Emre Celebi M; Wen Q; Hwang S; Iyatomi H; Schaefer G
    Skin Res Technol; 2013 Feb; 19(1):e252-8. PubMed ID: 22676490
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.