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). Multiscale receptive field based on residual network for pancreas segmentation in CT images. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiscale-receptive-field-based-on-residual-network-for-pancreas-segmentation-in-ct-images
MLA“Multiscale receptive field based on residual network for pancreas segmentation in CT images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiscale-receptive-field-based-on-residual-network-for-pancreas-segmentation-in-ct-images.
BibTeX@misc{4ortxyz_multiscale-receptive-field-based-on-residual-network-for-pancreas-segmentation-in-ct-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multiscale receptive field based on residual network for pancreas segmentation in CT images}}, year = {2026}, url = {https://4ort.xyz/entity/multiscale-receptive-field-based-on-residual-network-for-pancreas-segmentation-in-ct-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multiscale receptive field based on residual network for pancreas segmentation in CT images — https://4ort.xyz/entity/multiscale-receptive-field-based-on-residual-network-for-pancreas-segmentation-in-ct-images (retrieved 2026-05-24)
