U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images
Summary
U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images is a scholarly article[1].
Key Facts
U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/u-next-a-novel-convolution-neural-network-with-an-aggregation-u-net-architecture-for-gallstone-segmentation-in-ct-images
MLA“U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/u-next-a-novel-convolution-neural-network-with-an-aggregation-u-net-architecture-for-gallstone-segmentation-in-ct-images.
BibTeX@misc{4ortxyz_u-next-a-novel-convolution-neural-network-with-an-aggregation-u-net-architecture-for-gallstone-segmentation-in-ct-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images}}, year = {2026}, url = {https://4ort.xyz/entity/u-next-a-novel-convolution-neural-network-with-an-aggregation-u-net-architecture-for-gallstone-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): U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images — https://4ort.xyz/entity/u-next-a-novel-convolution-neural-network-with-an-aggregation-u-net-architecture-for-gallstone-segmentation-in-ct-images (retrieved 2026-05-24)
