Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy-Reference-Cited by-同舟云学术

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Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy

Published:2023-10-15 Issue: Volume: Page:444-453
ISSN:0302-9743
Container-title:Machine Learning in Medical Imaging
language:
Short-container-title:

Author:

Baliah Sanoojan^ORCID,Maani Fadillah A.^ORCID,Sanjeev Santosh^ORCID,Khan Muhammad Haris^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-45673-2_44

Reference42 articles.

1. APTOS: APTOS 2019 Blindness Detection. https://www.kaggle.com/competitions/aptos2019-blindness-detection/data (2019)

2. Asiri, N., Hussain, M., Al Adel, F., Alzaidi, N.: Deep learning based computer-aided diagnosis systems for diabetic retinopathy: a survey. Artif. Intell. Med. 99 (2019). https://doi.org/10.1016/j.artmed.2019.07.009

3. Atwany, M., Yaqub, M.: DRGen: domain generalization in diabetic retinopathy classification. In: MICCAI 2022: Proceedings, Part II. pp. 635–644. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-16434-7_61

4. Ben-David, S., Blitzer, J., Crammer, K., Kulesza, A., Pereira, F.C., Vaughan, J.W.: A theory of learning from different domains. Mach. Learn. 79, 151–175 (2010)

5. Ben-David, S., Blitzer, J., Crammer, K., Pereira, F.: Analysis of representations for domain adaptation. In: Advances in Neural Information Processing Systems 19 (2006)

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