Segmentation-Based Transformer Network for Automated Skin Disease Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9524-0_17
Reference35 articles.
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3. Daneshjou R, Vodrahalli K, Liang W, Novoa RA, Jenkins M, Rotemberg V, Ko J, Swetter SM, Bailey EE, Gevaert O et al (2021) Disparities in dermatology AI: assessments using diverse clinical images. arXiv preprint arXiv:2111.08006
4. Groh M, Harris C, Soenksen L, Lau F, Han R, Kim A, Koochek A, Badri O (2021) Evaluating deep neural networks trained on clinical images in dermatology with the Fitzpatrick 17k dataset. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 1820–1828
5. Li X, Cui Z, Wu Y, Gu L, Harada T (2021) Estimating and improving fairness with adversarial learning. arXiv preprint arXiv:2103.04243
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