Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images
Summary
Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images is a scholarly article[1].
Key Facts
Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images. Retrieved May 24, 2026, from https://4ort.xyz/entity/ensembled-deep-learning-model-outperforms-human-experts-in-diagnosing-biliary-atresia-from-sonographic-gallbladder-image
MLA“Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ensembled-deep-learning-model-outperforms-human-experts-in-diagnosing-biliary-atresia-from-sonographic-gallbladder-image.
BibTeX@misc{4ortxyz_ensembled-deep-learning-model-outperforms-human-experts-in-diagnosing-biliary-atresia-from-sonographic-gallbladder-image_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images}}, year = {2026}, url = {https://4ort.xyz/entity/ensembled-deep-learning-model-outperforms-human-experts-in-diagnosing-biliary-atresia-from-sonographic-gallbladder-image}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images — https://4ort.xyz/entity/ensembled-deep-learning-model-outperforms-human-experts-in-diagnosing-biliary-atresia-from-sonographic-gallbladder-image (retrieved 2026-05-24)
