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). Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/ms-red-a-novel-multi-scale-residual-encoding-and-decoding-network-for-skin-lesion-segmentation
MLA“Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ms-red-a-novel-multi-scale-residual-encoding-and-decoding-network-for-skin-lesion-segmentation.
BibTeX@misc{4ortxyz_ms-red-a-novel-multi-scale-residual-encoding-and-decoding-network-for-skin-lesion-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/ms-red-a-novel-multi-scale-residual-encoding-and-decoding-network-for-skin-lesion-segmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation — https://4ort.xyz/entity/ms-red-a-novel-multi-scale-residual-encoding-and-decoding-network-for-skin-lesion-segmentation (retrieved 2026-05-24)
