BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

314 related articles for article (PubMed ID: 33063398)

  • 21. Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study.
    Maron RC; Hekler A; Krieghoff-Henning E; Schmitt M; Schlager JG; Utikal JS; Brinker TJ
    J Med Internet Res; 2021 Mar; 23(3):e21695. PubMed ID: 33764307
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images.
    Kaur R; GholamHosseini H; Sinha R; Lindén M
    BMC Med Imaging; 2022 May; 22(1):103. PubMed ID: 35644612
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Association between different scale bars in dermoscopic images and diagnostic performance of a market-approved deep learning convolutional neural network for melanoma recognition.
    Winkler JK; Sies K; Fink C; Toberer F; Enk A; Abassi MS; Fuchs T; Haenssle HA
    Eur J Cancer; 2021 Mar; 145():146-154. PubMed ID: 33465706
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts.
    Haggenmüller S; Maron RC; Hekler A; Utikal JS; Barata C; Barnhill RL; Beltraminelli H; Berking C; Betz-Stablein B; Blum A; Braun SA; Carr R; Combalia M; Fernandez-Figueras MT; Ferrara G; Fraitag S; French LE; Gellrich FF; Ghoreschi K; Goebeler M; Guitera P; Haenssle HA; Haferkamp S; Heinzerling L; Heppt MV; Hilke FJ; Hobelsberger S; Krahl D; Kutzner H; Lallas A; Liopyris K; Llamas-Velasco M; Malvehy J; Meier F; Müller CSL; Navarini AA; Navarrete-Dechent C; Perasole A; Poch G; Podlipnik S; Requena L; Rotemberg VM; Saggini A; Sangueza OP; Santonja C; Schadendorf D; Schilling B; Schlaak M; Schlager JG; Sergon M; Sondermann W; Soyer HP; Starz H; Stolz W; Vale E; Weyers W; Zink A; Krieghoff-Henning E; Kather JN; von Kalle C; Lipka DB; Fröhling S; Hauschild A; Kittler H; Brinker TJ
    Eur J Cancer; 2021 Oct; 156():202-216. PubMed ID: 34509059
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Computer Aided Diagnosis of Melanoma Using Deep Neural Networks and Game Theory: Application on Dermoscopic Images of Skin Lesions.
    Foahom Gouabou AC; Collenne J; Monnier J; Iguernaissi R; Damoiseaux JL; Moudafi A; Merad D
    Int J Mol Sci; 2022 Nov; 23(22):. PubMed ID: 36430315
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.
    Baig R; Bibi M; Hamid A; Kausar S; Khalid S
    Curr Med Imaging; 2020; 16(5):513-533. PubMed ID: 32484086
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Ensemble Method of Convolutional Neural Networks with Directed Acyclic Graph Using Dermoscopic Images: Melanoma Detection Application.
    Foahom Gouabou AC; Damoiseaux JL; Monnier J; Iguernaissi R; Moudafi A; Merad D
    Sensors (Basel); 2021 Jun; 21(12):. PubMed ID: 34200521
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Analysis of the ISIC image datasets: Usage, benchmarks and recommendations.
    Cassidy B; Kendrick C; Brodzicki A; Jaworek-Korjakowska J; Yap MH
    Med Image Anal; 2022 Jan; 75():102305. PubMed ID: 34852988
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Deep learning-based diagnosis models for onychomycosis in dermoscopy.
    Zhu X; Zheng B; Cai W; Zhang J; Lu S; Li X; Xi L; Kong Y
    Mycoses; 2022 Apr; 65(4):466-472. PubMed ID: 35119144
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Assessment of Diagnostic Performance of Dermatologists Cooperating With a Convolutional Neural Network in a Prospective Clinical Study: Human With Machine.
    Winkler JK; Blum A; Kommoss K; Enk A; Toberer F; Rosenberger A; Haenssle HA
    JAMA Dermatol; 2023 Jun; 159(6):621-627. PubMed ID: 37133847
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Melanoma segmentation using deep learning with test-time augmentations and conditional random fields.
    Ashraf H; Waris A; Ghafoor MF; Gilani SO; Niazi IK
    Sci Rep; 2022 Mar; 12(1):3948. PubMed ID: 35273282
    [TBL] [Abstract][Full Text] [Related]  

  • 33. The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning.
    Jinnai S; Yamazaki N; Hirano Y; Sugawara Y; Ohe Y; Hamamoto R
    Biomolecules; 2020 Jul; 10(8):. PubMed ID: 32751349
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Fusing fine-tuned deep features for skin lesion classification.
    Mahbod A; Schaefer G; Ellinger I; Ecker R; Pitiot A; Wang C
    Comput Med Imaging Graph; 2019 Jan; 71():19-29. PubMed ID: 30458354
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.
    Mahbod A; Schaefer G; Wang C; Dorffner G; Ecker R; Ellinger I
    Comput Methods Programs Biomed; 2020 Sep; 193():105475. PubMed ID: 32268255
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Observational study investigating the level of support from a convolutional neural network in face and scalp lesions deemed diagnostically 'unclear' by dermatologists.
    Kommoss KS; Winkler JK; Mueller-Christmann C; Bardehle F; Toberer F; Stolz W; Kraenke T; Hofmann-Wellenhof R; Blum A; Enk A; Rosenberger A; Haenssle HA
    Eur J Cancer; 2023 May; 185():53-60. PubMed ID: 36963352
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Reply to the letter to the editor 'Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists' by H. A. Haenssle et al.
    Haenssle HA; Fink C; Rosenberger A; Uhlmann L
    Ann Oncol; 2019 May; 30(5):854-857. PubMed ID: 30689691
    [No Abstract]   [Full Text] [Related]  

  • 38. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms.
    Alsaade FW; Aldhyani THH; Al-Adhaileh MH
    Comput Math Methods Med; 2021; 2021():9998379. PubMed ID: 34055044
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark.
    Brinker TJ; Hekler A; Hauschild A; Berking C; Schilling B; Enk AH; Haferkamp S; Karoglan A; von Kalle C; Weichenthal M; Sattler E; Schadendorf D; Gaiser MR; Klode J; Utikal JS
    Eur J Cancer; 2019 Apr; 111():30-37. PubMed ID: 30802784
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 16.