A Machine Learning Model Based on Radiomic Features as a Tool to Identify Active Giant Cell Arteritis on [18F]FDG-PET Images During Follow-Up

Hanne S. Vries*, Gijs D. van Praagh, Pieter H. Nienhuis, Lejla Alic, Riemer H.J.A. Slart

*Corresponding author for this work

    Research output: Contribution to journal › Article › Academic › peer-review

    4 Downloads (Pure)

    Fingerprint

    Dive into the research topics of 'A Machine Learning Model Based on Radiomic Features as a Tool to Identify Active Giant Cell Arteritis on [18F]FDG-PET Images During Follow-Up'. Together they form a unique fingerprint.

    Medicine and Dentistry

    Immunology and Microbiology

    Neuroscience

    Biochemistry, Genetics and Molecular Biology