Home ›
Entities
› academia
› DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images
DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images
Research article (Medical Hypotheses, 2019) · cited 70× · AI/ML
DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images
Summary
DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images is a scholarly article[1].
Key Facts
DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images. Retrieved May 24, 2026, from https://4ort.xyz/entity/dccmed-net-densely-connected-and-concatenated-multi-encoder-decoder-cnns-for-retinal-vessel-extraction-from-fundus-image
MLA“DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dccmed-net-densely-connected-and-concatenated-multi-encoder-decoder-cnns-for-retinal-vessel-extraction-from-fundus-image.
BibTeX@misc{4ortxyz_dccmed-net-densely-connected-and-concatenated-multi-encoder-decoder-cnns-for-retinal-vessel-extraction-from-fundus-image_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images}}, year = {2026}, url = {https://4ort.xyz/entity/dccmed-net-densely-connected-and-concatenated-multi-encoder-decoder-cnns-for-retinal-vessel-extraction-from-fundus-image}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images — https://4ort.xyz/entity/dccmed-net-densely-connected-and-concatenated-multi-encoder-decoder-cnns-for-retinal-vessel-extraction-from-fundus-image (retrieved 2026-05-24)