BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 34237739)

  • 1. Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks.
    Betz-Stablein B; D'Alessandro B; Koh U; Plasmeijer E; Janda M; Menzies SW; Hofmann-Wellenhof R; Green AC; Soyer HP
    Dermatology; 2022; 238(1):4-11. PubMed ID: 34237739
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diagnostic performance of augmented intelligence with 2D and 3D total body photography and convolutional neural networks in a high-risk population for melanoma under real-world conditions: A new era of skin cancer screening?
    Cerminara SE; Cheng P; Kostner L; Huber S; Kunz M; Maul JT; Böhm JS; Dettwiler CF; Geser A; Jakopović C; Stoffel LM; Peter JK; Levesque M; Navarini AA; Maul LV
    Eur J Cancer; 2023 Sep; 190():112954. PubMed ID: 37453242
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 'Mind your Moles' study: protocol of a prospective cohort study of melanocytic naevi.
    Koh U; Janda M; Aitken JF; Duffy DL; Menzies S; Sturm RA; Schaider H; Betz-Stablein B; Prow T; Soyer HP; Green AC
    BMJ Open; 2018 Sep; 8(9):e025857. PubMed ID: 30232117
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Indicators for the total number of melanocytic naevi: an adjunct for screening campaigns. Observational study on 292 patients.
    Echeverría B; Bulliard JL; Guillén C; Nagore E
    Br J Dermatol; 2014 Jan; 170(1):144-9. PubMed ID: 24443914
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accuracy and reliability of naevus self-counts.
    Fiessler C; Pfahlberg A; Li J; Uter W; Gefeller O
    Melanoma Res; 2014 Dec; 24(6):611-6. PubMed ID: 25014848
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Consistency of convolutional neural networks in dermoscopic melanoma recognition: A prospective real-world study about the pitfalls of augmented intelligence.
    Goessinger EV; Cerminara SE; Mueller AM; Gottfrois P; Huber S; Amaral M; Wenz F; Kostner L; Weiss L; Kunz M; Maul JT; Wespi S; Broman E; Kaufmann S; Patpanathapillai V; Treyer I; Navarini AA; Maul LV
    J Eur Acad Dermatol Venereol; 2024 May; 38(5):945-953. PubMed ID: 38158385
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The naevus count on the arms as a predictor of the number of melanocytic naevi on the whole body.
    Fariñas-Alvarez C; Ródenas JM; Herranz MT; Delgado-Rodríguez M
    Br J Dermatol; 1999 Mar; 140(3):457-62. PubMed ID: 10233266
    [TBL] [Abstract][Full Text] [Related]  

  • 8. High naevus count and MC1R red hair alleles contribute synergistically to increased melanoma risk.
    Duffy DL; Lee KJ; Jagirdar K; Pflugfelder A; Stark MS; McMeniman EK; Soyer HP; Sturm RA
    Br J Dermatol; 2019 Nov; 181(5):1009-1016. PubMed ID: 30820946
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparability of naevus counts between and within examiners, and comparison with computer image analysis.
    Aitken JF; Green A; Eldridge A; Green L; Pfitzner J; Battistutta D; Martin NG
    Br J Cancer; 1994 Mar; 69(3):487-91. PubMed ID: 8123478
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Melanocytic naevi, melanoma and sun exposure.
    Augustsson A
    Acta Derm Venereol Suppl (Stockh); 1991; 166():1-34. PubMed ID: 1814137
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.
    Maron RC; Weichenthal M; Utikal JS; Hekler A; Berking C; Hauschild A; Enk AH; Haferkamp S; Klode J; Schadendorf D; Jansen P; Holland-Letz T; Schilling B; von Kalle C; Fröhling S; Gaiser MR; Hartmann D; Gesierich A; Kähler KC; Wehkamp U; Karoglan A; Bär C; Brinker TJ;
    Eur J Cancer; 2019 Sep; 119():57-65. PubMed ID: 31419752
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Do larger people have more naevi? Naevus frequency versus naevus density.
    Walter SD; Ashbolt R; Dwyer T; Marrett LD
    Int J Epidemiol; 2000 Dec; 29(6):1025-30. PubMed ID: 11101543
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Naevi and pigmentary characteristics as risk factors for melanoma in a high-risk population: a case-control study in New South Wales, Australia.
    Grulich AE; Bataille V; Swerdlow AJ; Newton-Bishop JA; Cuzick J; Hersey P; McCarthy WH
    Int J Cancer; 1996 Aug; 67(4):485-91. PubMed ID: 8759605
    [TBL] [Abstract][Full Text] [Related]  

  • 14. High-resolution ultrasound reflex transmission imaging and digital photography: potential tools for the quantitative assessment of pigmented lesions.
    Rallan D; Dickson M; Bush NL; Harland CC; Mortimer P; Bamber JC
    Skin Res Technol; 2006 Feb; 12(1):50-9. PubMed ID: 16420539
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Reliability and inter-observer agreement of dermoscopic diagnosis of melanoma and melanocytic naevi. Dermoscopy Panel.
    Carli P; De Giorgi V; Naldi L; Dosi G
    Eur J Cancer Prev; 1998 Oct; 7(5):397-402. PubMed ID: 9884886
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dermatologist-level classification of skin cancer with deep neural networks.
    Esteva A; Kuprel B; Novoa RA; Ko J; Swetter SM; Blau HM; Thrun S
    Nature; 2017 Feb; 542(7639):115-118. PubMed ID: 28117445
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep neural networks are superior to dermatologists in melanoma image classification.
    Brinker TJ; Hekler A; Enk AH; Berking C; Haferkamp S; Hauschild A; Weichenthal M; Klode J; Schadendorf D; Holland-Letz T; von Kalle C; Fröhling S; Schilling B; Utikal JS
    Eur J Cancer; 2019 Sep; 119():11-17. PubMed ID: 31401469
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Reliability of naevus counts in identifying individuals at high risk of malignant melanoma.
    Byles JE; Hennrikus D; Sanson-Fisher R; Hersey P
    Br J Dermatol; 1994 Jan; 130(1):51-6. PubMed ID: 8305317
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated detection of new or evolving melanocytic lesions using a 3D body model.
    Bogo F; Romero J; Peserico E; Black MJ
    Med Image Comput Comput Assist Interv; 2014; 17(Pt 1):593-600. PubMed ID: 25333167
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The Additive Value of 3D Total Body Imaging for Sequential Monitoring of Skin Lesions: A Case Series.
    Grochulska K; Betz-Stablein B; Rutjes C; Chiu FP; Menzies SW; Soyer HP; Janda M
    Dermatology; 2022; 238(1):12-17. PubMed ID: 34380140
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.