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). LATUP-Net: A lightweight 3D attention U-Net with parallel convolutions for brain tumor segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/latup-net-a-lightweight-3d-attention-u-net-with-parallel-convolutions-for-brain-tumor-segmentation
MLA“LATUP-Net: A lightweight 3D attention U-Net with parallel convolutions for brain tumor segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/latup-net-a-lightweight-3d-attention-u-net-with-parallel-convolutions-for-brain-tumor-segmentation.
BibTeX@misc{4ortxyz_latup-net-a-lightweight-3d-attention-u-net-with-parallel-convolutions-for-brain-tumor-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LATUP-Net: A lightweight 3D attention U-Net with parallel convolutions for brain tumor segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/latup-net-a-lightweight-3d-attention-u-net-with-parallel-convolutions-for-brain-tumor-segmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LATUP-Net: A lightweight 3D attention U-Net with parallel convolutions for brain tumor segmentation — https://4ort.xyz/entity/latup-net-a-lightweight-3d-attention-u-net-with-parallel-convolutions-for-brain-tumor-segmentation (retrieved 2026-05-24)
