Open Access
Skin Lesion Classification Using Transfer Learning
Christina Nielsen
1
,
Robert Anderson
2
,
Aisha Al-Rashid
3
,
Deniz Aktaş
4
,
Min-Jun Kim
5
,
Robert Anderson
2
,
Aisha Al-Rashid
3
,
Deniz Aktaş
4
,
Min-Jun Kim
5
1
University of Copenhagen, Denmark
2
University of Oxford, UK
3
King Saud University, Saudi Arabia
4
Koc University, Turkey
5
Seoul National University, South Korea
Abstract
This paper presents a comprehensive analysis of this research area in modern applications. We develop a comprehensive framework that ensures improved performance, enhanced reliability, and better scalability. The proposed system utilizes cutting-edge methods to automate key processes. Evaluation results show that our approach achieves 39% improvement while maintaining system performance.
Keywords
healthcare,medical imaging,diagnosis,bioinformatics,clinical decision support
How to Cite
Nielsen, C., Anderson, R., Al-Rashid, A., Aktaş, D., & Kim, M.-J. (2022). Skin Lesion Classification Using Transfer Learning. Nivo Light - International Journal of Research & Innovation, 4(2), 36–41. https://doi.org/10.28051/ojstest-126
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