Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). FRD-Net: a full-resolution dilated convolution network for retinal vessel segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/frd-net-a-full-resolution-dilated-convolution-network-for-retinal-vessel-segmentation
MLA“FRD-Net: a full-resolution dilated convolution network for retinal vessel segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/frd-net-a-full-resolution-dilated-convolution-network-for-retinal-vessel-segmentation.
BibTeX@misc{4ortxyz_frd-net-a-full-resolution-dilated-convolution-network-for-retinal-vessel-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FRD-Net: a full-resolution dilated convolution network for retinal vessel segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/frd-net-a-full-resolution-dilated-convolution-network-for-retinal-vessel-segmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FRD-Net: a full-resolution dilated convolution network for retinal vessel segmentation — https://4ort.xyz/entity/frd-net-a-full-resolution-dilated-convolution-network-for-retinal-vessel-segmentation (retrieved 2026-05-24)
