BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 30726260)

  • 21. Diagnostic and neural analysis of skin cancer (DANAOS). A multicentre study for collection and computer-aided analysis of data from pigmented skin lesions using digital dermoscopy.
    Hoffmann K; Gambichler T; Rick A; Kreutz M; Anschuetz M; Grünendick T; Orlikov A; Gehlen S; Perotti R; Andreassi L; Newton Bishop J; Césarini JP; Fischer T; Frosch PJ; Lindskov R; Mackie R; Nashan D; Sommer A; Neumann M; Ortonne JP; Bahadoran P; Penas PF; Zoras U; Altmeyer P
    Br J Dermatol; 2003 Oct; 149(4):801-9. PubMed ID: 14616373
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Computer-aided diagnosis of melanocytic skin tumors by use of confocal laser scanning microscopy images.
    Wiltgen M; Bloice M; Koller S; Hoffmann-Wellenhof R; Smolle J; Gerger A
    Anal Quant Cytol Histol; 2011 Apr; 33(2):85-100. PubMed ID: 21980611
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Oriented pattern analysis for streak detection in dermoscopy images.
    Sadeghi M; Lee TK; McLean D; Lui H; Atkins MS
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 1):298-306. PubMed ID: 23285564
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images.
    Marchetti MA; Codella NCF; Dusza SW; Gutman DA; Helba B; Kalloo A; Mishra N; Carrera C; Celebi ME; DeFazio JL; Jaimes N; Marghoob AA; Quigley E; Scope A; Yélamos O; Halpern AC;
    J Am Acad Dermatol; 2018 Feb; 78(2):270-277.e1. PubMed ID: 28969863
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Computer-aided diagnosis of ground-glass opacity pulmonary nodules using radiomic features analysis.
    Gong J; Liu J; Hao W; Nie S; Wang S; Peng W
    Phys Med Biol; 2019 Jul; 64(13):135015. PubMed ID: 31167172
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Computer-aided diagnosis of lung cancer: the effect of training data sets on classification accuracy of lung nodules.
    Gong J; Liu JY; Sun XW; Zheng B; Nie SD
    Phys Med Biol; 2018 Feb; 63(3):035036. PubMed ID: 29311420
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Computer-aided diagnosis of prostate cancer in the peripheral zone using multiparametric MRI.
    Niaf E; Rouvière O; Mège-Lechevallier F; Bratan F; Lartizien C
    Phys Med Biol; 2012 Jun; 57(12):3833-51. PubMed ID: 22640958
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A comparison of methods for three-class mammograms classification.
    Milosevic M; Jovanovic Z; Jankovic D
    Technol Health Care; 2017 Aug; 25(4):657-670. PubMed ID: 28436405
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Machine learning-based diagnosis of melanoma using macro images.
    Gautam D; Ahmed M; Meena YK; Ul Haq A
    Int J Numer Method Biomed Eng; 2018 May; 34(5):e2953. PubMed ID: 29266819
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Discrimination of benign common nevi from malignant melanoma lesions by use of features based on spectral properties of the wavelet transform.
    Wiltgen M; Gerger A; Wagner C; Bergthaler P; Smolle J
    Anal Quant Cytol Histol; 2003 Oct; 25(5):243-53. PubMed ID: 14603721
    [TBL] [Abstract][Full Text] [Related]  

  • 31. SVM classifier on chip for melanoma detection.
    Afifi S; GholamHosseini H; Sinha R
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():270-274. PubMed ID: 29059862
    [TBL] [Abstract][Full Text] [Related]  

  • 32. An expert support system for breast cancer diagnosis using color wavelet features.
    Issac Niwas S; Palanisamy P; Chibbar R; Zhang WJ
    J Med Syst; 2012 Oct; 36(5):3091-102. PubMed ID: 22005900
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Effective mammogram classification based on center symmetric-LBP features in wavelet domain using random forests.
    Singh VP; Srivastava S; Srivastava R
    Technol Health Care; 2017 Aug; 25(4):709-727. PubMed ID: 28582938
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study.
    Elbaum M; Kopf AW; Rabinovitz HS; Langley RG; Kamino H; Mihm MC; Sober AJ; Peck GL; Bogdan A; Gutkowicz-Krusin D; Greenebaum M; Keem S; Oliviero M; Wang S
    J Am Acad Dermatol; 2001 Feb; 44(2):207-18. PubMed ID: 11174377
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. PH² - a dermoscopic image database for research and benchmarking.
    Mendonca T; Ferreira PM; Marques JS; Marcal AR; Rozeira J
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():5437-40. PubMed ID: 24110966
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Dermoscopic diagnosis by a trained clinician vs. a clinician with minimal dermoscopy training vs. computer-aided diagnosis of 341 pigmented skin lesions: a comparative study.
    Piccolo D; Ferrari A; Peris K; Diadone R; Ruggeri B; Chimenti S
    Br J Dermatol; 2002 Sep; 147(3):481-6. PubMed ID: 12207587
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A comparative study of support vector machine, artificial neural network and bayesian classifier for mutagenicity prediction.
    Sharma A; Kumar R; Varadwaj PK; Ahmad A; Ashraf GM
    Interdiscip Sci; 2011 Sep; 3(3):232-9. PubMed ID: 21956745
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A support vector machine for decision support in melanoma recognition.
    Gilmore S; Hofmann-Wellenhof R; Soyer HP
    Exp Dermatol; 2010 Sep; 19(9):830-5. PubMed ID: 20629732
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.