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). CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI. Retrieved May 24, 2026, from https://4ort.xyz/entity/crosstransunet-a-new-computationally-inexpensive-tumor-segmentation-model-for-brain-mri
MLA“CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crosstransunet-a-new-computationally-inexpensive-tumor-segmentation-model-for-brain-mri.
BibTeX@misc{4ortxyz_crosstransunet-a-new-computationally-inexpensive-tumor-segmentation-model-for-brain-mri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI}}, year = {2026}, url = {https://4ort.xyz/entity/crosstransunet-a-new-computationally-inexpensive-tumor-segmentation-model-for-brain-mri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI — https://4ort.xyz/entity/crosstransunet-a-new-computationally-inexpensive-tumor-segmentation-model-for-brain-mri (retrieved 2026-05-24)
