Endoscopy-based IBD identification by a quantized deep learning pipeline

BACKGROUND: Discrimination between patients affected by inflammatory bowel diseases and healthy controls on the basis of endoscopic imaging is an challenging problem for machine learning models. Such task is used here as the testbed for a novel deep learning classification pipeline, powered by a set...

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Detalles Bibliográficos
Autores principales: Datres, Massimiliano, Paolazzi, Elisa, Chierici, Marco, Pozzi, Matteo, Colangelo, Antonio, Dorian Donzella, Marcello, Jurman, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675910/
https://www.ncbi.nlm.nih.gov/pubmed/38001537
http://dx.doi.org/10.1186/s13040-023-00350-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675910/
https://www.ncbi.nlm.nih.gov/pubmed/38001537
http://dx.doi.org/10.1186/s13040-023-00350-0

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