Improving automated aneurysm detection on multi-site MRA data: lessons learnt from a public machine learning challenge

AUTHORS: Di Noto T, Marie G, Tourbier S, Alemán-Gómez y, Saliou G, Bach Cuadra M, Hagmann P, Richiardi J

Proceedings of the 29th ISMRM & SMRT Annual Meeting, : , Online, May 2021

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ABSTRACT

Participating in machine learning challenges provides valuable insights for medical imaging problems. In our case, the expedients learnt from a public challenge helped us to improve the sensitivity of our model both on one in-house test dataset and on the challenge test data. 

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Module: SP