PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets
Summary
PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets is a scholarly article[1].
Key Facts
PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets's instance of is recorded as scholarly article[2].
References
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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). PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/patrans-pixel-adaptive-transformer-for-edge-segmentation-of-cervical-nuclei-on-small-scale-datasets
MLA“PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/patrans-pixel-adaptive-transformer-for-edge-segmentation-of-cervical-nuclei-on-small-scale-datasets.
BibTeX@misc{4ortxyz_patrans-pixel-adaptive-transformer-for-edge-segmentation-of-cervical-nuclei-on-small-scale-datasets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets}}, year = {2026}, url = {https://4ort.xyz/entity/patrans-pixel-adaptive-transformer-for-edge-segmentation-of-cervical-nuclei-on-small-scale-datasets}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets — https://4ort.xyz/entity/patrans-pixel-adaptive-transformer-for-edge-segmentation-of-cervical-nuclei-on-small-scale-datasets (retrieved 2026-05-24)
