A machine learning pipeline for prediction of bone marrow oedema along the sacroiliac joints on magnetic resonance imaging Ghent University
A machine learning pipeline for prediction of bone marrow oedema along the sacroiliac joints on magnetic resonance imaging Aim. Detection and semi-quantitative assessment of bone marrow oedema (BMO) on magnetic resonance imaging (MRI) of the sacroiliac (SI) joints is essential for the diagnosis and follow-up of spondyloarthritis (SpA) patients. A machine learning (ML) algorithm could address intra- and inter-reader variability and the ...