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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2407.04940 |
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| _version_ | 1866916315309015040 |
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| author | Kiselev, Georgiy |
| author_facet | Kiselev, Georgiy |
| contents | This paper demonstrates the efficacy of a modified U-Net structure for the extraction of vascular tree masks for human fundus photographs. On limited compute resources and training data, the proposed model only slightly underperforms when compared to state of the art methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_04940 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Resource Constrained U-Net for Extraction of Retinal Vascular Trees Kiselev, Georgiy Image and Video Processing Computer Vision and Pattern Recognition Machine Learning This paper demonstrates the efficacy of a modified U-Net structure for the extraction of vascular tree masks for human fundus photographs. On limited compute resources and training data, the proposed model only slightly underperforms when compared to state of the art methods. |
| title | Resource Constrained U-Net for Extraction of Retinal Vascular Trees |
| topic | Image and Video Processing Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2407.04940 |