Development of a multimodal machine-learning fusion model to non-invasively assess ileal Crohn's disease endoscopic activity.

Itai Guez,Gili Focht,Mary-Louise C Greer,Ruth Cytter-Kuint,Li-Tal Pratt,Denise A Castro,Dan Turner,Anne M Griffiths,Moti Freiman

Comput. Methods Programs Biomed.（2022）

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摘要

Optimized ML models for ileal CD endoscopic activity assessment have the potential to enable accurate and non-invasive attentive observation of intestinal inflammation in CD patients. The presented model is available at https://tcml-bme.github.io/ML_SESCD.html.

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关键词

Crohn’s disease,Machine-learning,Magnetic Resonance Enterography,Multimodal Learning in Medical Imaging and Informatics

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