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). Spatial probabilistic distribution map-based two-channel 3D U-net for visual pathway segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/spatial-probabilistic-distribution-map-based-two-channel-3d-u-net-for-visual-pathway-segmentation
MLA“Spatial probabilistic distribution map-based two-channel 3D U-net for visual pathway segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spatial-probabilistic-distribution-map-based-two-channel-3d-u-net-for-visual-pathway-segmentation.
BibTeX@misc{4ortxyz_spatial-probabilistic-distribution-map-based-two-channel-3d-u-net-for-visual-pathway-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spatial probabilistic distribution map-based two-channel 3D U-net for visual pathway segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/spatial-probabilistic-distribution-map-based-two-channel-3d-u-net-for-visual-pathway-segmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Spatial probabilistic distribution map-based two-channel 3D U-net for visual pathway segmentation — https://4ort.xyz/entity/spatial-probabilistic-distribution-map-based-two-channel-3d-u-net-for-visual-pathway-segmentation (retrieved 2026-05-24)