BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

143 related articles for article (PubMed ID: 32832046)

  • 1. Assistant Diagnosis of Basal Cell Carcinoma and Seborrheic Keratosis in Chinese Population Using Convolutional Neural Network.
    Huang K; He X; Jin Z; Wu L; Zhao X; Wu Z; Wu X; Xie Y; Wan M; Li F; Liu D; Yu N; Li M; Su J; Zhao S; Chen X
    J Healthc Eng; 2020; 2020():1713904. PubMed ID: 32832046
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Clinical image identification of basal cell carcinoma and pigmented nevi based on convolutional neural network].
    Xie B; He X; Huang W; Shen M; Li F; Zhao S
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2019 Sep; 44(9):1063-1070. PubMed ID: 31645498
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population.
    Wang SQ; Zhang XY; Liu J; Tao C; Zhu CY; Shu C; Xu T; Jin HZ
    Chin Med J (Engl); 2020 Sep; 133(17):2027-2036. PubMed ID: 32826613
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Key points in dermoscopic diagnosis of basal cell carcinoma and seborrheic keratosis in Japanese.
    Takenouchi T
    J Dermatol; 2011 Jan; 38(1):59-65. PubMed ID: 21175757
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnostic value of CD10 and Bcl2 expression in distinguishing cutaneous basal cell carcinoma from squamous cell carcinoma and seborrheic keratosis.
    Gaballah MA; Ahmed RA
    Pathol Res Pract; 2015 Dec; 211(12):931-8. PubMed ID: 26573127
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluation of prospectively collected presenting signs/symptoms of biopsy-proven melanoma, basal cell carcinoma, squamous cell carcinoma, and seborrheic keratosis in an elderly male population.
    Askari SK; Schram SE; Wenner RA; Bowers S; Liu A; Bangerter AK; Warshaw EM
    J Am Acad Dermatol; 2007 May; 56(5):739-47. PubMed ID: 17258839
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.
    Han SS; Kim MS; Lim W; Park GH; Park I; Chang SE
    J Invest Dermatol; 2018 Jul; 138(7):1529-1538. PubMed ID: 29428356
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Classification of skin cancer using convolutional neural networks analysis of Raman spectra.
    Bratchenko IA; Bratchenko LA; Khristoforova YA; Moryatov AA; Kozlov SV; Zakharov VP
    Comput Methods Programs Biomed; 2022 Jun; 219():106755. PubMed ID: 35349907
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation.
    Juan CK; Su YH; Wu CY; Yang CS; Hsu CH; Hung CL; Chen YJ
    Sci Rep; 2023 Oct; 13(1):17087. PubMed ID: 37816815
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Palpation as a useful diagnostic tool for skin lesions.
    Punj P; Devitt PG; Coventry BJ; Whitfield RJ
    J Plast Reconstr Aesthet Surg; 2014 Jun; 67(6):804-7. PubMed ID: 24618228
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network.
    Han SS; Moon IJ; Lim W; Suh IS; Lee SY; Na JI; Kim SH; Chang SE
    JAMA Dermatol; 2020 Jan; 156(1):29-37. PubMed ID: 31799995
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using a structured image database, how well can novices assign skin lesion images to the correct diagnostic grouping?
    Brown NH; Robertson KM; Bisset YC; Rees JL
    J Invest Dermatol; 2009 Oct; 129(10):2509-12. PubMed ID: 19340013
    [No Abstract]   [Full Text] [Related]  

  • 14. 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]  

  • 15. Dermoscopy Improves the Diagnostic Accuracy of Melanomas Clinically Resembling Seborrheic Keratosis: Cross-Sectional Study of the Ability to Detect Seborrheic Keratosis-Like Melanomas by a Group of Dermatologists with Varying Degrees of Experience.
    Carrera C; Segura S; Aguilera P; Takigami CM; Gomes A; Barreiro A; Scalvenzi M; Longo C; Cavicchini S; Thomas L; Malvehy J; Puig S; Zalaudek I
    Dermatology; 2017; 233(6):471-479. PubMed ID: 29502116
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Did Leonardo da Vinci have a BCC?
    Gapp GL; McReddie MI
    Med J Aust; 1996 Dec 2-16; 165(11-12):681-2. PubMed ID: 8985459
    [No Abstract]   [Full Text] [Related]  

  • 17. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task.
    Brinker TJ; Hekler A; Enk AH; Klode J; Hauschild A; Berking C; Schilling B; Haferkamp S; Schadendorf D; Fröhling S; Utikal JS; von Kalle C;
    Eur J Cancer; 2019 Apr; 111():148-154. PubMed ID: 30852421
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The dermoscopic inverse approach significantly improves the accuracy of human readers for lentigo maligna diagnosis.
    Lallas A; Lallas K; Tschandl P; Kittler H; Apalla Z; Longo C; Argenziano G
    J Am Acad Dermatol; 2021 Feb; 84(2):381-389. PubMed ID: 32592885
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The challenge of diagnosing seborrheic keratosis by reflectance confocal microscopy.
    Guo A; Chen J; Yang C; Ding Y; Zeng Q; Tan L
    Skin Res Technol; 2018 Nov; 24(4):663-666. PubMed ID: 29797357
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Clonal seborrheic keratosis: a dermoscopic pitfall.
    Zalaudek I; Ferrara G; Argenziano G
    Arch Dermatol; 2004 Sep; 140(9):1169-70. PubMed ID: 15381565
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.