Deep learning model to improve melanoma detection in people of color-Reference-Cited by-同舟云学术

Deep learning model to improve melanoma detection in people of color

Published:2023-03-04 Issue:1 Volume:30 Page:92-102
ISSN:2576-5299
Container-title:Arab Journal of Basic and Applied Sciences
language:en
Short-container-title:Arab Journal of Basic and Applied Sciences

Author:

Kushimo Oluwatobi O.¹,Salau Ayodeji Olalekan²³^ORCID,Adeleke Oladapo J.¹,Olaoye Doyinsola S.¹

Affiliation:

1. Department of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria

2. Department of Electrical/Electronics and Computer Engineering, Afe Babalola University, Ado-Ekiti, Nigeria

3. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

Publisher

Informa UK Limited

Subject

General Energy,General Agricultural and Biological Sciences,General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Mathematics,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/25765299.2023.2170066

Reference47 articles.

1. Abbes, W., & Sellami, D. (2019). Deep neural network for fuzzy automatic melanoma diagnosis. In VISIGRAPP; Setubal, Portugal: SCITEPRESS.

2. Cancers Arising in Black Skin

3. Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art

4. Effects of objects and image quality on melanoma classification using Deep Neural Networks

5. Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification

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