Endoscopy-based IBD identification by a quantized deep learning pipeline
Massimiliano Datres,
Elisa Paolazzi,
Marco Chierici
et al.
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 by a set of solutions enhancing characterising elements such as reproducibility, interpretability, reduced computational workload, bias-free modeling and careful image preprocessing.
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