These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
338 related articles for article (PubMed ID: 38875908)
1. Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects. Lyakhova UA; Lyakhov PA Comput Biol Med; 2024 Aug; 178():108742. PubMed ID: 38875908 [TBL] [Abstract][Full Text] [Related]
2. [The Rise of Artificial Intelligence - High Prediction Accuracy in Early Detection of Pigmented Melanoma]. Jutzi T; Krieghoff-Henning EI; Brinker TJ Laryngorhinootologie; 2023 Jul; 102(7):496-503. PubMed ID: 36580975 [TBL] [Abstract][Full Text] [Related]
4. [Computer-assisted skin cancer diagnosis : Is it time for artificial intelligence in clinical practice?]. Brinker TJ; Schlager G; French LE; Jutzi T; Kittler H Hautarzt; 2020 Sep; 71(9):669-676. PubMed ID: 32747996 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Unveiling the power of convolutional neural networks in melanoma diagnosis. Van Dieren L; Amar JZ; Geurs N; Quisenaerts T; Gillet C; Delforge B; D'heysselaer LC; Filip Thiessen EF; Cetrulo CL; Lellouch AG Eur J Dermatol; 2023 Oct; 33(5):495-505. PubMed ID: 38297925 [TBL] [Abstract][Full Text] [Related]
7. Skin lesion classification with ensembles of deep convolutional neural networks. Harangi B J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. Computational neural network in melanocytic lesions diagnosis: artificial intelligence to improve diagnosis in dermatology? Aractingi S; Pellacani G Eur J Dermatol; 2019 Apr; 29(S1):4-7. PubMed ID: 31017580 [TBL] [Abstract][Full Text] [Related]
13. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification. Al-Masni MA; Kim DH; Kim TS Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084 [TBL] [Abstract][Full Text] [Related]
14. Fusion between an Algorithm Based on the Characterization of Melanocytic Lesions' Asymmetry with an Ensemble of Convolutional Neural Networks for Melanoma Detection. Collenne J; Monnier J; Iguernaissi R; Nawaf M; Richard MA; Grob JJ; Gaudy-Marqueste C; Dubuisson S; Merad D J Invest Dermatol; 2024 Jul; 144(7):1600-1607.e2. PubMed ID: 38296020 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms. Premaladha J; Ravichandran KS J Med Syst; 2016 Apr; 40(4):96. PubMed ID: 26872778 [TBL] [Abstract][Full Text] [Related]
18. [Artificial intelligence-based classification for the diagnostics of skin cancer]. Winkler JK; Haenssle HA Dermatologie (Heidelb); 2022 Nov; 73(11):838-844. PubMed ID: 36094608 [TBL] [Abstract][Full Text] [Related]
19. Artificial intelligence in dermatopathology: Diagnosis, education, and research. Wells A; Patel S; Lee JB; Motaparthi K J Cutan Pathol; 2021 Aug; 48(8):1061-1068. PubMed ID: 33421167 [TBL] [Abstract][Full Text] [Related]
20. Characterizing the role of dermatologists in developing artificial intelligence for assessment of skin cancer. Zakhem GA; Fakhoury JW; Motosko CC; Ho RS J Am Acad Dermatol; 2021 Dec; 85(6):1544-1556. PubMed ID: 31972254 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]