Web: http://arxiv.org/abs/2201.10849

Jan. 27, 2022, 2:10 a.m. | Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin

cs.CV updates on arXiv.org arxiv.org

Accurate prediction of knee osteoarthritis (KOA) progression from structural
MRI has a potential to enhance disease understanding and support clinical
trials. Prior art focused on manually designed imaging biomarkers, which may
not fully exploit all disease-related information present in MRI scan. In
contrast, our method learns relevant representations from raw data end-to-end
using Deep Learning, and uses them for progression prediction. The method
employs a 2D CNN to process the data slice-wise and aggregate the extracted
features using a Transformer. …

arxiv deep deep learning learning

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