Difference between revisions of "AI-Assisted Quality Control of CTD Data"

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== Machine Learning Pipeline ==
 
== Machine Learning Pipeline ==
  
[[File:Ml pipeline.png|thumb|Three-step process used in the machine learning pipeline.]]
+
[[File:Ml pipeline.png|Three-step process used in the machine learning pipeline.]]
  
  
 
== Experimental Model Performance ==
 
== Experimental Model Performance ==
  
[[File:Performance.png|thumb|Model performance and dataset histogram over the depth range from which CTD scans are collected.]]
+
[[File:Performance.png|Model performance and dataset histogram over the depth range from which CTD scans are collected.]]
  
  
 
== Model Deployment and Integration ==
 
== Model Deployment and Integration ==
  
[[File:Model communications.png|thumb|Information flow in the integration of the model deployment into the business process.]]
+
[[File:Model communications.png|Information flow in the integration of the model deployment into the business process.]]
  
  
 
== Next Steps ==
 
== Next Steps ==

Revision as of 17:34, 16 December 2022


Use Case Objectives

Flow diagram for the model integration into the business process.

Machine Learning Pipeline

Three-step process used in the machine learning pipeline.


Experimental Model Performance

Model performance and dataset histogram over the depth range from which CTD scans are collected.


Model Deployment and Integration

Information flow in the integration of the model deployment into the business process.


Next Steps