Back to search

Article

Prediction of Celiac Disease Severity and Associated Endocrine Morbidities through Deep Learning-based Image Analytics

2021-01-26

Abstract excerpt

<h4>Objective</h4> Develop a deep learning-based methodology using the foundations of systems pathology to generate highly accurate predictive tools for complex gastrointestinal diseases, using celiac disease (CD) as a prototype. <h4>Design</h4> To predict the severity of CD, defined by Marsh–Oberhüber classification, we used deep learning to develop a model based on histopathologic features. <h4>Results</h4> The...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b68fc4e3-b6f6-5d01-bd55-4448135001b6
DOI
10.1101/2021.01.20.21250194
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Prediction of Celiac Disease Severity and Associated Endocrine Morbidities through Deep Learning-based Image AnalyticsDOI 10.1101/2021.01.20.21250194
Select a neighboring publication to make it the new centre.