BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

167 related articles for article (PubMed ID: 34154489)

  • 1. Artificial intelligence image recognition of melanoma and basal cell carcinoma in racially diverse populations.
    Aggarwal P; Papay FA
    J Dermatolog Treat; 2022 Jun; 33(4):2257-2262. PubMed ID: 34154489
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Performance of Artificial Intelligence Imaging Models in Detecting Dermatological Manifestations in Higher Fitzpatrick Skin Color Classifications.
    Aggarwal P
    JMIR Dermatol; 2021 Oct; 4(2):e31697. PubMed ID: 37632853
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.
    Combalia M; Codella N; Rotemberg V; Carrera C; Dusza S; Gutman D; Helba B; Kittler H; Kurtansky NR; Liopyris K; Marchetti MA; Podlipnik S; Puig S; Rinner C; Tschandl P; Weber J; Halpern A; Malvehy J
    Lancet Digit Health; 2022 May; 4(5):e330-e339. PubMed ID: 35461690
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Thresholding methods for lesion segmentation of basal cell carcinoma in dermoscopy images.
    Kaur R; LeAnder R; Mishra NK; Hagerty JR; Kasmi R; Stanley RJ; Celebi ME; Stoecker WV
    Skin Res Technol; 2017 Aug; 23(3):416-428. PubMed ID: 27892649
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The application of artificial intelligence in the detection of basal cell carcinoma: A systematic review.
    Widaatalla Y; Wolswijk T; Adan F; Hillen LM; Woodruff HC; Halilaj I; Ibrahim A; Lambin P; Mosterd K
    J Eur Acad Dermatol Venereol; 2023 Jun; 37(6):1160-1167. PubMed ID: 36785993
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnostic capacity of skin tumor artificial intelligence-assisted decision-making software in real-world clinical settings.
    Li CX; Fei WM; Shen CB; Wang ZY; Jing Y; Meng RS; Cui Y
    Chin Med J (Engl); 2020 Sep; 133(17):2020-2026. PubMed ID: 32810047
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adaptable texture-based segmentation by variance and intensity for automatic detection of semitranslucent and pink blush areas in basal cell carcinoma.
    Kefel S; Pelin Kefel S; LeAnder RW; Kaur R; Kasmi R; Mishra NK; Rader RK; Cole JG; Woolsey ZT; Stoecker WV
    Skin Res Technol; 2016 Nov; 22(4):412-422. PubMed ID: 26991418
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.
    Maron RC; Utikal JS; Hekler A; Hauschild A; Sattler E; Sondermann W; Haferkamp S; Schilling B; Heppt MV; Jansen P; Reinholz M; Franklin C; Schmitt L; Hartmann D; Krieghoff-Henning E; Schmitt M; Weichenthal M; von Kalle C; Fröhling S; Brinker TJ
    J Med Internet Res; 2020 Sep; 22(9):e18091. PubMed ID: 32915161
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial Intelligence for the Classification of Pigmented Skin Lesions in Populations with Skin of Color: A Systematic Review.
    Liu Y; Primiero CA; Kulkarni V; Soyer HP; Betz-Stablein B
    Dermatology; 2023; 239(4):499-513. PubMed ID: 36944317
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. SkinViT: A transformer based method for Melanoma and Nonmelanoma classification.
    Khan S; Khan A
    PLoS One; 2023; 18(12):e0295151. PubMed ID: 38150449
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Skin cancer image recognition based on similarity clustering and attention transfer.
    Tan Z; Lin J; Chen K; Zhuang Y; Han L
    J Xray Sci Technol; 2023; 31(2):337-355. PubMed ID: 36617768
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.
    Giavina-Bianchi M; de Sousa RM; Paciello VZA; Vitor WG; Okita AL; Prôa R; Severino GLDS; Schinaid AA; Espírito Santo R; Machado BS
    PLoS One; 2021; 16(9):e0257006. PubMed ID: 34550970
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection of basal cell carcinoma using color and histogram measures of semitranslucent areas.
    Stoecker WV; Gupta K; Shrestha B; Wronkiewiecz M; Chowdhury R; Stanley RJ; Xu J; Moss RH; Celebi ME; Rabinovitz HS; Oliviero M; Malters JM; Kolm I
    Skin Res Technol; 2009 Aug; 15(3):283-7. PubMed ID: 19624424
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.
    Marchetti MA; Liopyris K; Dusza SW; Codella NCF; Gutman DA; Helba B; Kalloo A; Halpern AC;
    J Am Acad Dermatol; 2020 Mar; 82(3):622-627. PubMed ID: 31306724
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Robustness of convolutional neural networks in recognition of pigmented skin lesions.
    Maron RC; Haggenmüller S; von Kalle C; Utikal JS; Meier F; Gellrich FF; Hauschild A; French LE; Schlaak M; Ghoreschi K; Kutzner H; Heppt MV; Haferkamp S; Sondermann W; Schadendorf D; Schilling B; Hekler A; Krieghoff-Henning E; Kather JN; Fröhling S; Lipka DB; Brinker TJ
    Eur J Cancer; 2021 Mar; 145():81-91. PubMed ID: 33423009
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis.
    Kuo KM; Talley PC; Chang CS
    BMC Med Inform Decis Mak; 2023 Jul; 23(1):138. PubMed ID: 37501114
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Non-invasive diagnosis of pink basal cell carcinoma: how much can we rely on dermoscopy and reflectance confocal microscopy?
    Witkowski AM; Łudzik J; DeCarvalho N; Ciardo S; Longo C; DiNardo A; Pellacani G
    Skin Res Technol; 2016 May; 22(2):230-7. PubMed ID: 26338448
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic telangiectasia analysis in dermoscopy images using adaptive critic design.
    Cheng B; Stanley RJ; Stoecker WV; Hinton K
    Skin Res Technol; 2012 Nov; 18(4):389-96. PubMed ID: 22136115
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.