A systematic literature survey on skin disease detection and classification using machine learning and deep learning-Reference-Cited by-同舟云学术

A systematic literature survey on skin disease detection and classification using machine learning and deep learning

Published:2024-02-26 Issue:32 Volume:83 Page:78093-78124
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Yadav Rashmi,Bhat Aruna^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18119-w.pdf

Reference110 articles.

1. ADDI Project (2013) https://www.fc.up.pt/addi/ph2%20database.html. PH2 Dataset, Accessed January 30, 2023

2. Adegun A, Viriri S (2021) Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art. Artif Intell Rev 54:811–841

3. Devakishan Adla et al. (2022) Deep learning-based computer aided diagnosis model for skin cancer detection and classification. In: Distributed and Parallel Databases 40.4, pp. 717–736. https://doi.org/10.1007/s10619-021-07360-z

4. Sadia Afroze Md, Hossain Rajib, Hoque Mohammed Moshiul (2022) Deepfocus: A visual focus of attention detection framework using deep learning in multi-object scenarios. In J King Saud Univ-Comput Inf Sci 34(10):10109–10124

5. Afroze S et al. (2023) An empirical framework for detecting speaking modes using ensemble classifier. In: Multimed Tools Appl, pp. 1–34. https://doi.org/10.1007/s11042-023-15254-8

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