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Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss

Research article (2018 Digital Image Computing: Techniques and Applications (DICTA), 2018) · cited 90× · AI/ML
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Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss

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Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss is a scholarly article[1].

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  • Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss's instance of is recorded as scholarly article[2].

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Olaf Hellwich

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/strided-u-net-model-retinal-vessels-segmentation-using-dice-loss
MLA “Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/strided-u-net-model-retinal-vessels-segmentation-using-dice-loss.
BibTeX @misc{4ortxyz_strided-u-net-model-retinal-vessels-segmentation-using-dice-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss}}, year = {2026}, url = {https://4ort.xyz/entity/strided-u-net-model-retinal-vessels-segmentation-using-dice-loss}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss — https://4ort.xyz/entity/strided-u-net-model-retinal-vessels-segmentation-using-dice-loss (retrieved 2026-05-24)

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