Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes-Reference-Cited by-同舟云学术

Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes

Published:2024-03-06 Issue:4 Volume:316 Page:
ISSN:1432-069X
Container-title:Archives of Dermatological Research
language:en
Short-container-title:Arch Dermatol Res

Author:

Myslicka Maria,Kawala-Sterniuk Aleksandra,Bryniarska Anna,Sudol Adam,Podpora Michal,Gasz Rafal,Martinek Radek,Kahankova Vilimkova Radana,Vilimek Dominik,Pelc Mariusz,Mikolajewski Dariusz

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00403-024-02828-1.pdf

Reference158 articles.

1. Abuzaghleh O, Barkana BD, Faezipour M (2015) Noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention. IEEE J Transl Eng Health Med 3:1–12. https://doi.org/10.1109/JTEHM.2015.2419612

2. A X, F W (2019) Towards interpretable skin lesion classification with deep learning models. AMIA Annu Symp Proc. 2019:1246–1255

3. Ahmad B, Jun S, Palade V, You Q, Mao L, Zhongjie M (2021) Improving skin cancer classification using heavy-tailed student t-distribution in generative adversarial networks (ted-gan). Diagnostics 11(11):2147

4. Aitekenov S, Gaipov A, Bukasov R (2021) Detection and quantification of proteins in human urine. Talanta 223:121718

5. Akinyi OE, Kalambuka AH, Dehayem-Kamadjeu A et al (2022) Evaluation of a peak-free chemometric laser-induced breakdown spectroscopy method for direct rapid cancer detection via trace metal biomarkers in tissue. J Spectrosc 2022

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