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Enhancing diagnosis of Hirschsprung’s disease using deep learning from histological sections of post pull-through specimens: preliminary results
Research article (Pediatric Surgery International, 2023) · cited 20× · AI/ML
Enhancing diagnosis of Hirschsprung’s disease using deep learning from histological sections of post pull-through specimens: preliminary results
Summary
Enhancing diagnosis of Hirschsprung’s disease using deep learning from histological sections of post pull-through specimens: preliminary results is a scholarly article[1].
Key Facts
Enhancing diagnosis of Hirschsprung’s disease using deep learning from histological sections of post pull-through specimens: preliminary results's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Enhancing diagnosis of Hirschsprung’s disease using deep learning from histological sections of post pull-through specimens: preliminary results. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-diagnosis-of-hirschsprungs-disease-using-deep-learning-from-histological-sections-of-post-pull-through-specime
MLA“Enhancing diagnosis of Hirschsprung’s disease using deep learning from histological sections of post pull-through specimens: preliminary results.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-diagnosis-of-hirschsprungs-disease-using-deep-learning-from-histological-sections-of-post-pull-through-specime.
BibTeX@misc{4ortxyz_enhancing-diagnosis-of-hirschsprungs-disease-using-deep-learning-from-histological-sections-of-post-pull-through-specime_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing diagnosis of Hirschsprung’s disease using deep learning from histological sections of post pull-through specimens: preliminary results}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-diagnosis-of-hirschsprungs-disease-using-deep-learning-from-histological-sections-of-post-pull-through-specime}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing diagnosis of Hirschsprung’s disease using deep learning from histological sections of post pull-through specimens: preliminary results — https://4ort.xyz/entity/enhancing-diagnosis-of-hirschsprungs-disease-using-deep-learning-from-histological-sections-of-post-pull-through-specime (retrieved 2026-05-24)
