The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review-Reference-Cited by-同舟云学术

The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review

Published:2022-01-27 Issue:3 Volume:60 Page:633-642
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Lim Wei Xiang^ORCID,Chen ZhiYuan,Ahmed Amr

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11517-021-02487-8.pdf

Reference43 articles.

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2. Anwar SM, Majid M, Qayyum A, Awais M, Alnowami M, Khan MK (2018) Medical image analysis using convolutional neural networks: a review. J Med Syst 42(11):226

3. IDF. (2019). IDF Diabetes Atlas. Available: https://diabetesatlas.org/en/resources/

4. Sommer A et al (2014) Challenges of ophthalmic care in the developing world. JAMA ophthalmology 132(5):640–644

5. Resnikoff S et al (2020) Estimated number of ophthalmologists worldwide (International Council of Ophthalmology update): will we meet the needs? Br J Ophthalmol 104(4):588–592

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