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Evaluation of deep learning to predict the diagnosis of LBD using 18F-FDG PET

The main purpose of this project is to compare deep machine learning methods to human visual interpretation in clinical applications, specifically when it comes to PET brain scans of patients with Lewy body dementia, LBD.

About the project

Project period:

  • January 1, 2020, to April 1, 2021

Financier:

  • AIDA (an initiative within the strategic innovation program Medtech4Health, a joint venture by VINNOVA, Formas and the Swedish Energy Agency)

Involved partners:

  • The Department Of Clinical Physiology and the Center for Medical Imaging Visualization (CMIV) at Linköping University Hospital
  • The Center for Applied Intelligent System Research (CAISR) at Halmstad University
  • The European DLB consortium

Team members at Halmstad University:

Department:

  • ISDD

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