Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence-Reference-Cited by-同舟云学术

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Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence

Published:2023-06-27 Issue:1 Volume:31 Page:
ISSN:2769-0911
Container-title:Applied Mathematics in Science and Engineering
language:en
Short-container-title:Applied Mathematics in Science and Engineering

Author:

Nayak Tushar¹,Chadaga Krishnaraj²,Sampathila Niranjana¹,Mayrose Hilda¹,Muralidhar Bairy G.¹,Prabhu Srikanth²,Katta Swathi S.³,Umakanth Shashikiran⁴

Affiliation:

1. Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

2. Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

3. Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India

4. Department of Medicine, Dr. T.M.A. Pai Hospital, Manipal Academy of Higher Education, Udupi, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/27690911.2023.2225698

Reference32 articles.

1. Monkeypox – a description of the clinical progression of skin lesions: a case report from Colorado, USA

2. Multi-features extraction based on deep learning for skin lesion classification

3. Smartphone Usage before and during COVID-19: A Comparative Study Based on Objective Recording of Usage Data

4. Diagnosing COVID-19 using artificial intelligence: a comprehensive review

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