Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866917832627847168 |
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| author | Faraji, Mahtab Rashidisabet, Homa Nahass, George R. Chan, RV Paul Vajaranant, Thasarat S Yi, Darvin |
| author_facet | Faraji, Mahtab Rashidisabet, Homa Nahass, George R. Chan, RV Paul Vajaranant, Thasarat S Yi, Darvin |
| contents | Here, we examine the latest advances in glaucoma detection through Deep Learning (DL) algorithms using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This study focuses on three aspects of DL-based glaucoma detection frameworks: input data modalities, processing strategies, and model architectures and applications. Moreover, we analyze trends in employing each aspect since the onset of DL in this field. Finally, we address current challenges and suggest future research directions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_05876 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review Faraji, Mahtab Rashidisabet, Homa Nahass, George R. Chan, RV Paul Vajaranant, Thasarat S Yi, Darvin Image and Video Processing Computer Vision and Pattern Recognition Here, we examine the latest advances in glaucoma detection through Deep Learning (DL) algorithms using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This study focuses on three aspects of DL-based glaucoma detection frameworks: input data modalities, processing strategies, and model architectures and applications. Moreover, we analyze trends in employing each aspect since the onset of DL in this field. Finally, we address current challenges and suggest future research directions. |
| title | Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review |
| topic | Image and Video Processing Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2411.05876 |