Application of machine learning technologies to improve the diagnostic value of dermatoscopy, combined with digital photo-fixation of skin neoplasms

Application of machine learning technologies to improve the diagnostic value of dermatoscopy, combined with digital photo-fixation of skin neoplasms

Authors

  • Marian Voloshynovych Department of Dermatology and Venereology, Ivano-Frankivsk National Medical University, Ukraine
  • Galyna Girnyk Department of Dermatology and Venereology, Ivano-Frankivsk National Medical University, Ukraine
  • Valerii Chmut Department of Dermatology and Venereology, Ivano-Frankivsk National Medical University, Ukraine
  • Iryna Blaga Department of Dermatology and Venereology, Ivano-Frankivsk National Medical University, Ukraine
  • Nataliia Kozak Department of Dermatology and Venereology, Ivano-Frankivsk National Medical University, Ukraine

Keywords:

dermatoscopy, machine learning, skin neoplasms

References

Zalaudek I, Argenziano G. Dermoscopy of actinic keratosis, intraepidermal carcinoma and squamous cell carcinoma. Curr Probl Dermatol. 2015;46:70-76. doi:10.1159/000366539 PMID: 25561209

Wozniak-Rito A, Zalaudek I, Rudnicka L. Dermoscopy of basal cell carcinoma. Clin Exp Dermatol. 2018;43(3):241-247. doi:10.1111/ced.13387 PMID: 29341291

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Published

2022-10-31

Issue

2022 Vol 12, No 4 | October

Section

Research Letter

License

Copyright (c) 2022 Marian Voloshynovych, Galyna Girnyk, Valerii Chmut , Iryna Blaga, Nataliia Kozak

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Dermatology Practical & Conceptual applies a Creative Commons Attribution License (CCAL) to all works we publish (http://creativecommons.org/licenses/by-nc/4.0/). Authors retain the copyright for their published work.

How to Cite

1.
Voloshynovych M, Girnyk G, Chmut V, Blaga I, Kozak N. Application of machine learning technologies to improve the diagnostic value of dermatoscopy, combined with digital photo-fixation of skin neoplasms. Dermatol Pract Concept. 2022;12(4):e2022181. doi:10.5826/dpc.1204a181

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