Automatic Prediction of Ischemia-Reperfusion Injury of Small Intestine Using Convolutional Neural Networks: A Pilot Study

Automatic Prediction of Ischemia-Reperfusion Injury of Small Intestine Using Convolutional Neural Networks: A Pilot Study

Acute intestinal ischemia is a life-threatening condition. The current gold standard, with evaluation based on visual and tactile sensation, has low specificity. In this study, we explore the feasibility of using machine learning models on images of the intestine, to assess small intestinal viabilit...

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Bibliographic Details
Main Authors: Jie Hou, Runar Strand-Amundsen, Christian Tronstad, Jan Olav Høgetveit, Ørjan Grøttem Martinsen, Tor Inge Tønnessen
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
convolutional neural networks (CNN)
small intestinal viability
ischemia-reperfusion injury
explainable AI
transfer learning
probabilistic modeling
Online Access:https://www.mdpi.com/1424-8220/21/19/6691

Internet

https://www.mdpi.com/1424-8220/21/19/6691

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