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Applications of deep learning in fundus images: A review
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Cited by
H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation
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Metadata
- Authors
- Li, T., Bo, W., Hu, C., Kang, H., Liu, H., Wang, K., & Fu, H.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 69
- Pages
- 101971
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W3122431193
- Cited by
- 396
- References
- 225
- FWCI
- 32.43
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Natural Science Foundation of Tianjin City
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- The paper
- Li, T., Bo, W., Hu, C., Kang, H., Liu, H., Wang, K., & Fu, H. (2021). Applications of deep learning in fundus images: A review. Medical Image Analysis. https://doi.org/10.1016/j.media.2021.101971
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