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Endoscopy-based IBD identification by a quantized deep learning pipeline

Abstract 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...

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Principais autores: Massimiliano Datres, Elisa Paolazzi, Marco Chierici, Matteo Pozzi, Antonio Colangelo, Marcello Dorian Donzella, Giuseppe Jurman
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2023-11-01
Serier:BioData Mining
Fag:
Per-patient model
Interpretability
Quantization
Automatic preprocessing
Inflammatory bowel disease
Online adgang:https://doi.org/10.1186/s13040-023-00350-0
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