BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

127 related articles for article (PubMed ID: 21096478)

  • 21. 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]  

  • 22. Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images.
    Ahn E; Kim J; Bi L; Kumar A; Li C; Fulham M; Feng DD
    IEEE J Biomed Health Inform; 2017 Nov; 21(6):1685-1693. PubMed ID: 28092585
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. A Novel Approach to Segment Skin Lesions in Dermoscopic Images Based on a Deformable Model.
    Ma Z; Tavares JM
    IEEE J Biomed Health Inform; 2016 Mar; 20(2):615-23. PubMed ID: 25585429
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Malignant melanoma detection by Bag-of-Features classification.
    Situ N; Yuan X; Chen J; Zouridakis G
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3110-3. PubMed ID: 19163365
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Computer-aided pattern classification system for dermoscopy images.
    Abbas Q; Celebi ME; Fondón I
    Skin Res Technol; 2012 Aug; 18(3):278-89. PubMed ID: 22093020
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Multi-scale classification based lesion segmentation for dermoscopic images.
    Abedini M; Codella N; Chakravorty R; Garnavi R; Gutman D; Helba B; Smith JR
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1361-1364. PubMed ID: 28268578
    [TBL] [Abstract][Full Text] [Related]  

  • 28. An integrated and interactive decision support system for automated melanoma recognition of dermoscopic images.
    Rahman MM; Bhattacharya P
    Comput Med Imaging Graph; 2010 Sep; 34(6):479-86. PubMed ID: 19942406
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Dynamic clustering detection through multi-valued descriptors of dermoscopic images.
    Cozza V; Guarracino MR; Maddalena L; Baroni A
    Stat Med; 2011 Sep; 30(20):2536-50. PubMed ID: 21717490
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Superior skin cancer classification by the combination of human and artificial intelligence.
    Hekler A; Utikal JS; Enk AH; Hauschild A; Weichenthal M; Maron RC; Berking C; Haferkamp S; Klode J; Schadendorf D; Schilling B; Holland-Letz T; Izar B; von Kalle C; Fröhling S; Brinker TJ;
    Eur J Cancer; 2019 Oct; 120():114-121. PubMed ID: 31518967
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks.
    Yuan Y; Lo YC
    IEEE J Biomed Health Inform; 2019 Mar; 23(2):519-526. PubMed ID: 29990146
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Modeling spatial relation in skin lesion images by the graph walk kernel.
    Situ N; Wadhawan T; Yuan X; Zouridakis G
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():6130-3. PubMed ID: 21097141
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Automated Detection and Segmentation of Vascular Structures of Skin Lesions Seen in Dermoscopy, With an Application to Basal Cell Carcinoma Classification.
    Kharazmi P; AlJasser MI; Lui H; Wang ZJ; Lee TK
    IEEE J Biomed Health Inform; 2017 Nov; 21(6):1675-1684. PubMed ID: 27959832
    [TBL] [Abstract][Full Text] [Related]  

  • 35. [Diagnostic dermoscopic algorithms].
    Blum A
    Hautarzt; 2005 Jan; 56(1):81-93; quiz 94-5. PubMed ID: 15630575
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.
    Yu Z; Jiang X; Zhou F; Qin J; Ni D; Chen S; Lei B; Wang T
    IEEE Trans Biomed Eng; 2019 Apr; 66(4):1006-1016. PubMed ID: 30130171
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Practical color calibration for dermoscopy, applied to a digital epiluminescence microscope.
    Grana C; Pellacani G; Seidenari S
    Skin Res Technol; 2005 Nov; 11(4):242-7. PubMed ID: 16221140
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Texture based skin lesion abruptness quantification to detect malignancy.
    Erol R; Bayraktar M; Kockara S; Kaya S; Halic T
    BMC Bioinformatics; 2017 Dec; 18(Suppl 14):484. PubMed ID: 29297290
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Hair detection and lesion segmentation in dermoscopic images using domain knowledge.
    Pathan S; Prabhu KG; Siddalingaswamy PC
    Med Biol Eng Comput; 2018 Nov; 56(11):2051-2065. PubMed ID: 29761315
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.