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). Hybrid vision transformer and Xception model for reliable CT-based ovarian neoplasms diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-vision-transformer-and-xception-model-for-reliable-ct-based-ovarian-neoplasms-diagnosis
MLA“Hybrid vision transformer and Xception model for reliable CT-based ovarian neoplasms diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-vision-transformer-and-xception-model-for-reliable-ct-based-ovarian-neoplasms-diagnosis.
BibTeX@misc{4ortxyz_hybrid-vision-transformer-and-xception-model-for-reliable-ct-based-ovarian-neoplasms-diagnosis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid vision transformer and Xception model for reliable CT-based ovarian neoplasms diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-vision-transformer-and-xception-model-for-reliable-ct-based-ovarian-neoplasms-diagnosis}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid vision transformer and Xception model for reliable CT-based ovarian neoplasms diagnosis — https://4ort.xyz/entity/hybrid-vision-transformer-and-xception-model-for-reliable-ct-based-ovarian-neoplasms-diagnosis (retrieved 2026-05-24)
