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Enhancing diagnosis of Hirschsprung’s disease using deep learning from histological sections of post pull-through specimens: preliminary results
PURPOSE: Accurate histological diagnosis in Hirschsprung disease (HD) is challenging, due to its complexity and potential for errors. In this study, we present an artificial intelligence (AI)-based method designed to identify ganglionic cells and hypertrophic nerves in HD histology. METHODS: Formali...
Autores principales: | Duci, Miriam, Magoni, Alessia, Santoro, Luisa, Dei Tos, Angelo Paolo, Gamba, Piergiorgio, Uccheddu, Francesca, Fascetti-Leon, Francesco |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687181/ https://www.ncbi.nlm.nih.gov/pubmed/38019366 http://dx.doi.org/10.1007/s00383-023-05590-z |
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